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Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification
inferred← citeshttps://doi.org/10.1109/tmi.2024.3501352openalex-snapshot
SegAnyPath: A Foundation Model for Multi- Resolution Stain-Variant and Multi-Task Pathology Image Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2021.3117837openalex-snapshot
Dynamic Neural Networks: A Survey
inferred← citeshttps://doi.org/10.1109/tpds.2021.3084813openalex-snapshot
Optimizing Depthwise Separable Convolution Operations on GPUs
inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00611openalex-snapshot
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
inferred← citeshttps://doi.org/10.1117/1.jmi.11.3.037501openalex-snapshot
Multiresolution semantic segmentation of biological structures in digital histopathology
inferred← citeshttps://doi.org/10.1145/3474085.3475352openalex-snapshot
Faster-PPN: Towards Real-Time Semantic Segmentation with Dual Mutual Learning for Ultra-High Resolution Images
inferred← citeshttps://doi.org/10.1145/3474085.3475489openalex-snapshot
Exploring Pathologist Knowledge for Automatic Assessment of Breast Cancer Metastases in Whole-slide Image
inferred← citeshttps://doi.org/10.1186/s12880-026-02281-8openalex-snapshot
A dual-consistency semi-supervised learning method for histopathology image segmentation
inferred← citeshttps://doi.org/10.12677/airr.2022.114048openalex-snapshot
Algorithm Research of Deep Learning in High-Resolution Remote Sensing Image Semantic Segmentation
inferred← citeshttps://doi.org/10.1360/csb-2025-5045openalex-snapshot
Research progress of universalvision foundation models in computational pathology
inferred← citeshttps://doi.org/10.1371/journal.pone.0251521openalex-snapshot
A fast and effective detection framework for whole-slide histopathology image analysis
inferred← citeshttps://doi.org/10.1609/aaai.v35i1.16076openalex-snapshot
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring
inferred← citeshttps://doi.org/10.1609/aaai.v38i5.28289openalex-snapshot
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5677679/v1openalex-snapshot
Multi-scale ensemble model for dMMR prediction from histopathological images of colorectal cancer
inferred← citeshttps://doi.org/10.22215/etd/2022-14880openalex-snapshot
Automated Segmentation of Complex Biological Structures in Histopathology Images
inferred← citeshttps://doi.org/10.23919/mva65244.2025.11175055openalex-snapshot
Enhancing Reliability of Medical Image Diagnosis through Top-rank Learning with Rejection Module
inferred← citeshttps://doi.org/10.23919/mva65244.2025.11175102openalex-snapshot
Domain Generalization of Pathological Image Segmentation by Patch-Level and WSI-Level Contrastive Learning
inferred← citeshttps://doi.org/10.24963/ijcai.2020/76openalex-snapshot
Meta Segmentation Network for Ultra-Resolution Medical Images
inferred← citeshttps://doi.org/10.24963/ijcai.2023/176openalex-snapshot
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
inferred← citeshttps://doi.org/10.25195/ijci.v49i1.378openalex-snapshot
LUNG CANCER DETECTION IN LOW-RESOLUTION IMAGES
inferred← citeshttps://doi.org/10.3233/jifs-232958openalex-snapshot
Irregular adaptive refinement network for semantic segmentation of high-resolution remote sensing images
inferred← citeshttps://doi.org/10.3390/app13137649openalex-snapshot
Unknown Traffic Recognition Based on Multi-Feature Fusion and Incremental Learning
inferred← citeshttps://doi.org/10.3390/cells10040787openalex-snapshot
Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology
inferred← citeshttps://doi.org/10.3390/diagnostics14050524openalex-snapshot
Magnifying Networks for Histopathological Images with Billions of Pixels
inferred← citeshttps://doi.org/10.3390/jimaging10100248openalex-snapshot
Enhanced Self-Checkout System for Retail Based on Improved YOLOv10
inferred← citeshttps://doi.org/10.3390/s22103960openalex-snapshot
A Novel Method Based on GAN Using a Segmentation Module for Oligodendroglioma Pathological Image Generation
inferred← citeshttps://doi.org/10.3390/s24041110openalex-snapshot
Double-Branch Multi-Scale Contextual Network: A Model for Multi-Scale Street Tree Segmentation in High-Resolution Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/smartcities9010010openalex-snapshot
HDRSeg-UDA: Semantic Segmentation for HDR Images with Unsupervised Domain Adaptation
inferred← citeshttps://doi.org/10.48550/arxiv.1907.06358openalex-snapshot
DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention
inferred← citeshttps://doi.org/10.55007/dufed.1181996openalex-snapshot
Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.