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Nuclear Segmentation

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Showing 1–25 of 33 papers

TitleStatusHype
Unpaired Image-to-Image Translation for Segmentation and Signal Unmixing—0
APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification—0
FrGNet: A fourier-guided weakly-supervised framework for nuclear instance segmentationCode0
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathologyCode0
HoverFast: an accurate, high-throughput, clinically deployable nuclear segmentation tool for brightfield digital pathology images—0
Towards Large-Scale Training of Pathology Foundation ModelsCode2
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and CountingCode1
Nuclear Segmentation and Classification: On Color & Compression Generalization—0
SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular LayoutsCode1
A Deep Learning Framework for Nuclear Segmentation and Classification in Histopathological Images—0
Cellular Segmentation and Composition in Routine Histology Images using Deep Learning—0
Separable-HoverNet and Instance-YOLO for Colon Nuclei Identification and Counting—0
A Standardized Pipeline for Colon Nuclei Identification and Counting Challenge—0
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and CountingCode0
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks—0
SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology ImagesCode1
CoNIC: Colon Nuclei Identification and Counting Challenge 2022—0
Meta Mask Correction for Nuclei Segmentation in Histopathological Image—0
RDCNet: Instance segmentation with a minimalist recurrent residual networkCode0
Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images—0
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology ImagesCode1
NuClick: From Clicks in the Nuclei to Nuclear Boundaries—0
Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework—0
Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature FusionCode1
Accurate Nuclear Segmentation with Center Vector Encoding—0
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