Topology Aware Fully Convolutional Networks for Histology Gland Segmentation

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Semantic Segmentation of Colon Glands in Inflammatory Bowel Disease Biopsies

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Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks

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Multi-level Activation for Segmentation of Hierarchically-Nested Classes

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Enhancing the morphological segmentation of microscopic fossils through Localized Topology-Aware Edge Detection

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Detail preserving conditional random field as 2-D RNN for gland segmentation in histology images

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A Novel Method Based on GAN Using a Segmentation Module for Oligodendroglioma Pathological Image Generation

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Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation

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A Deep Learning–Based System Trained for Gastrointestinal Stromal Tumor Screening Can Identify Multiple Types of Soft Tissue Tumors

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An Object Aware Hybrid U-Net for Breast Tumour Annotation

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Leveraging global binary masks for structure segmentation in medical images

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Improving automated thyroid cancer classification of frozen sections by the aid of virtual image translation and stain normalization

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Incomplete label error correction and group joint learning for gland segmentation

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Muscle Volume Quantification: Guiding Transformers with Anatomical Priors

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Weak-prior dual cognitive attention lightweight network for abdominal multi-organ segmentation

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Multimodal medical volumes translation and segmentation with generative adversarial network

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Automated Mucous Glands Detection and Segmentation in Colon Histology Images Using Semantic Segmentation

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Structured Output Learning with Abstention: Application to Accurate Opinion PredictionPreprint

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Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss

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Histological Images Segmentation by Convolutional Neural Network with Morphological Post-filtration

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A Survey on Exploring Deep Learning in Medical Image Processing

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Point-to-set distance functions for output-constrained neural networks

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Automated segmentation of glands to facilitate quantitative analysis in CD138 whole slide images using a KNet deep learning framework

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Projected pooling loss for red nucleus segmentation with soft topology constraints

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Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network

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Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-NetPreprint

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Hierarchical Multi-Class Group Correlation Learning Network for Medical Image Segmentation

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Structure-aware contrastive learning for glomerulus segmentation in renal pathology

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Comparison of the deep-learning-based automated segmentation methods for the head sectioned images of the virtual Korean human project

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Lesions Segmentation of Medical Ultrasound Images with Boundary Enhancement Strategy

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Structure-Preserving Histopathological Stain Normalization via Attention-Guided Residual Learning

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Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme

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CoCa: A Connectivity-Aware Cascade Framework for Histology Gland Segmentation

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Focal FCN: Towards Biomedical Small Object Segmentation with Limited Training DataPreprint

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Semi-Mamba: Improving Medical Image Segmentation via Semi-Automatic Mamba Network

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Practical assessment of masonry tunnel joint segmentation using topological machine learning

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Medical image segmentation based on deep feature learning and multistage classification

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3D shape instantiation for intra-operative navigation from a single 2D projection

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Characterizing Tissue Structures from Spatial Omics with Spatial Cellular Graph PartitionPreprint

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Unbiased Shape Compactness for SegmentationPreprint

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Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study

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Fine-Grained Recognition of Surface Targets with Limited Data

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Atlas-aware ConvNetfor Accurate yet Robust Anatomical SegmentationPreprint

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Automated Gland Detection in Colorectal Histopathological Images

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Wavelet Transform Based Volumetric Deep Learning Liver SegmentationPreprint

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Object Segmentation using Parametric Representation

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Deep Hierarchy-Aware Segmentation: A Novel Framework for MRIs Brain Tumor Segmentation

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Atrous convolution and fuzzy pooling-based multi-channel CNN model for accurate follicle segmentation

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Deep Learning Approach for Semantic Segmentation of Pathological Images

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Incorporating Structural and Textural Constraints into Loss Function for Brain Tumor Segmentation

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TA-Net: Topology-Aware Network for Gland Segmentation

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Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss

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Deep learning meets topology-preserving active contours: towards scalable quantitative histology of cortical cytoarchitecture.Preprint

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A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology

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Topology-Aware Segmentation Using Discrete Morse Theory

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