Research map: Quantification of the tumor microenvironment and prognostic analysis in colorectal cancer based on CAMuTILS

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Papers in this map

  1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation · Vijay Badrinarayanan · 2017 · 20035 citations · Cited by this paper
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  11. Pathology Image Analysis Using Segmentation Deep Learning Algorithms · Shidan Wang · 2019 · 400 citations · Cited by this paper
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  15. A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches · Xintong Li · 2022 · 281 citations · Cited by this paper
  16. From heatmaps to language: Explainable skin cancer diagnosis using CNN–VLM integration with an expert-annotated dataset · 2026 · Related
  17. Pathological Features and Prognostication in Colorectal Cancer · Kabytto Chen · 2021 · 254 citations · Cited by this paper
  18. Improving organizational processes in healthcare through simulation-driven resource allocation: Methodology and real-world case study · 2026 · Related
  19. Whole-slide Imaging · Toby C. Cornish · 2012 · 137 citations · Cited by this paper
  20. Artificial Intelligence and Machine Learning solutions-based oral cancer screening and detection: A scoping review · 2026 · Related
  21. A population-level digital histologic biomarker for enhanced prognosis of invasive breast cancer · Mohamed T. Amgad · 2023 · 132 citations · Cited by this paper
  22. NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer · Mohamed T. Amgad · 2022 · 117 citations · Cited by this paper
  23. An efficient colorectal cancer detection network using atrous convolution with coordinate attention transformer and histopathological images · Majdi Khalid · 2024 · 74 citations · Cited by this paper
  24. An intelligent brain tumor detection model using lightweight hybrid twin attentive pyramid convolutional network · S. Lincy Jemina · 2025 · 27 citations · Cited by this paper
  25. Prognostic prediction based on histopathologic features of tumor microenvironment in colorectal cancer · Liang Shi · 2023 · 12 citations · Cited by this paper
  26. Prognostic significance for colorectal carcinoid tumors based on the 8th edition TNM staging system · Piqing Gong · 2020 · 11 citations · Cited by this paper
  27. Machine learning-based analysis identifies a 13-gene prognostic signature to improve the clinical outcomes of colorectal cancer · Dexu Xun · 2024 · 11 citations · Cited by this paper
  28. Segmentation and thickness calculation of glomerular basement membrane using RADS-Net in glomerular microscopic images · Yizhi Wang · 2023 · 7 citations · Cited by this paper
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