NST: A nuclei segmentation method based on transformer for gastrointestinal cancer pathological images

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A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation

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Multi-Task Deep Supervision on Attention R2U-Net for Brain Tumor Segmentation

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MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge

(2021) Ruchika Verma et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

High-generalization deep sparse pattern reconstruction: feature extraction of speckles using self-attention armed convolutional neural networks

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ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

(2020) Foivos I. Diakogiannis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Design of a histopathology image segmentation algorithm for CAD of cancer

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Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

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A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

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