A Weakly Supervised Deep Learning Model and Human–Machine Fusion for Accurate Grading of Renal Cell Carcinoma from Histopathology Slides

A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images

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Pan-cancer integrative histology-genomic analysis via multimodal deep learning

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Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

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DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer

(2022) Yoni Schirris et al.   MEDICAL IMAGE ANALYSIS

Recent advances and clinical applications of deep learning in medical image analysis

(2022) Xuxin Chen et al.   MEDICAL IMAGE ANALYSIS

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval

(2022) Xiyue Wang et al.   MEDICAL IMAGE ANALYSIS

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

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Data-efficient and weakly supervised computational pathology on whole-slide images

(2021) Ming Y. Lu et al.   Nature Biomedical Engineering

Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study

(2021) Huan Yang et al.   BMC Medicine

Development of a Histopathology Informatics Pipeline for Classification and Prediction of Clinical Outcomes in Subtypes of Renal Cell Carcinoma

(2021) Eliana Marostica et al.   CLINICAL CANCER RESEARCH

Deep learning in histopathology: the path to the clinic

(2021) Jeroen van der Laak et al.   NATURE MEDICINE

Deep learning for diagnosis and survival prediction in soft tissue sarcoma

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Emerging role of deep learning‐based artificial intelligence in tumor pathology

(2020) Yahui Jiang et al.   Cancer Communications

Deep learning in cancer pathology: a new generation of clinical biomarkers

(2020) Amelie Echle et al.   BRITISH JOURNAL OF CANCER

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

The Cancer Genome Atlas of renal cell carcinoma: findings and clinical implications

(2019) W. Marston Linehan et al.   Nature Reviews Urology

Deep learning-based classification of mesothelioma improves prediction of patient outcome

(2019) Pierre Courtiol et al.   NATURE MEDICINE

Survival outcomes in patients with large (≥7cm) clear cell renal cell carcinomas treated with nephron-sparing surgery versus radical nephrectomy: Results of a multicenter cohort with long-term follow-up

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Epidemiology of Renal Cell Carcinoma

(2018) Umberto Capitanio et al.   EUROPEAN UROLOGY

Grading of renal cell carcinoma

(2018) Brett Delahunt et al.   HISTOPATHOLOGY

Renal cancer

(2016) Umberto Capitanio et al.   LANCET

Image analysis and machine learning in digital pathology: Challenges and opportunities

(2016) Anant Madabhushi et al.   MEDICAL IMAGE ANALYSIS

The International Society of Urological Pathology (ISUP) Grading System for Renal Cell Carcinoma and Other Prognostic Parameters

(2013) Brett Delahunt et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY

Quality of pathological reporting for renal cell cancer: implications for systemic therapy, prognostication and surveillance

(2010) Brian Shuch et al.   BJU INTERNATIONAL

Application of simplified Fuhrman grading system in clear-cell renal cell carcinoma

(2010) Sung K. Hong et al.   BJU INTERNATIONAL

A Proposal for Reclassification of the Fuhrman Grading System in Patients with Clear Cell Renal Cell Carcinoma

(2009) Maxine Sun et al.   EUROPEAN UROLOGY

Intraobserver and Interobserver Variability of Fuhrman and Modified Fuhrman Grading Systems for Conventional Renal Cell Carcinoma

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Advances and controversies in grading and staging of renal cell carcinoma

(2009) Brett Delahunt   MODERN PATHOLOGY