A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection

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Representation Learning: A Review and New Perspectives

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Building high-level features using large scale unsupervised learning

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Histology image analysis for carcinoma detection and grading

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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

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Building high-level features using large scale unsupervised learningPreprint

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Visual pattern mining in histology image collections using bag of features

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Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization

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Cell Nucleus Segmentation in Color Histopathological Imagery Using Convolutional Networks

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A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides

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Micro‐structural tissue analysis for automatic histopathological image annotation

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The 13th world congress on medical and health informatics, Cape Town, South Africa: Partnerships for effective e-Health solutions

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A survey on deep learning in medical image analysis

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Deep learning in bioinformatics

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Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

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Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

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Breast cancer histopathological image classification using Convolutional Neural Networks

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Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

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A novel deep learning based framework for the detection and classification of breast cancer using transfer learning

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Artificial intelligence in medical practice: the question to the answer?

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Artificial Intelligence Transforms the Future of Health Care

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Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

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Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks

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Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

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Real-world data: A brief review of the methods, applications, challenges and opportunities

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DCAN: Deep contour-aware networks for object instance segmentation from histology images

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Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey

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Representation learning for mammography mass lesion classification with convolutional neural networks

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Deep learning in microscopy image analysis: a survey

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A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images

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Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities

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Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images

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Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features

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Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives

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Lung Nodule Classification Using Deep Features in CT Images

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Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

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An Automatic Learning-Based Framework for Robust Nucleus Segmentation

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Deep learning for classification of colorectal polyps on whole-slide images

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Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features

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Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype

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Object Detection Using Deep Learning, CNNs and Vision Transformers: A Review

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Differential Data Augmentation Techniques for Medical Imaging Classification Tasks.

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PassGAN: A Deep Learning Approach for Password Guessing

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Literature review: efficient deep neural networks techniques for medical image analysis

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Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI

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Digital image analysis in breast pathology—from image processing techniques to artificial intelligence

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Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models

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Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier

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Radiological images and machine learning: Trends, perspectives, and prospects

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Cancer diagnosis in histopathological image: CNN based approach

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Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning

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Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

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Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images

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Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts

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Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional network

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Skin disease diagnosis with deep learning: a review

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Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4

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Development and assessment of an artificial intelligence–based tool for skin condition diagnosis by primary care physicians and nurse practitioners in teledermatology practices

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Discriminative Feature Learning for Skin Disease Classification Using Deep Convolutional Neural Network

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Deep learning in digital pathology image analysis: a survey

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Development of a Deep-Learning-Based Method for Breast Ultrasound Image Segmentation

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Machine Learning and Its Application in Skin Cancer

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High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection

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Efficient and robust cell detection: A structured regression approach

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A Review of Explainable Deep Learning Cancer Detection Models in Medical Imaging

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Artificial intelligence applications in dermatology: Where do we stand?

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Association of Pathological Fibrosis With Renal Survival Using Deep Neural Networks

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Deep learning and its application to medical image segmentationPreprint

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Integrated design of deep features fusion for localization and classification of skin cancer

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Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions

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Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks

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Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease

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Medical practitioner's adoption of intelligent clinical diagnostic decision support systems: A mixed-methods study

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ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning

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Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images

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Diagnostic Performance of Deep Learning Algorithms Applied to Three Common Diagnoses in Dermatopathology

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Feature extraction from histopathological images based on nucleus-guided convolutional neural network for breast lesion classification

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Computational pathology: A survey review and the way forward

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Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection

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Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks

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SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging

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An unsupervised feature learning framework for basal cell carcinoma image analysis

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Emerging Technologies for Next Generation Remote Health Care and Assisted Living

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Deep Learning: Current and Emerging Applications in Medicine and Technology

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Automated soil prediction using bag-of-features and chaotic spider monkey optimization algorithm

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Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma

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A Deep Learning Approach for Breast Invasive Ductal Carcinoma Detection and Lymphoma Multi-Classification in Histological Images

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Retrieval From and Understanding of Large-Scale Multi-modal Medical Datasets: A Review

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