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  1. 29 de mai. de 2024 · e16054 Background: Esophageal cancer (EC) ranks sixth globally in cancer-related deaths , continuing to be a significant public health concern . The purpose of this study is to assess the impact of staging and histopathology of EC on associated mortality. The study also aims to further investigate clinical characteristics, prognostic factors, and survival outcomes in patients diagnosed with EC ...

  2. Há 6 dias · Dataset use and workflow from algorithm development through validation and deployment. Whole slide images (WSI) from three different cohorts were used for model development: 407 from The Cancer ...

  3. 10 de mai. de 2024 · In this paper, we propose a self-supervised framework (enVironment-aware cOntrastive cell represenTation learning: VOLTA) for cell representation learning in histopathology images using a...

  4. Há 6 dias · Pathology is the precise study of the causes and consequences of a disease. The two major components of pathology are anatomical studies of structure and function at levels ranging from the...

  5. Há 4 dias · Histopathology is a top international pathology journal publishing advances in the diagnosis & study of diseases of the tissues, furthering knowledge of human disease. Aims Histological grading of prostate cancer is a powerful prognostic tool, but current criteria for grade assignment are not fully optimised.

  6. Há 9 horas · xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology. Multiple instance learning (MIL) is an effective and widely used approach for weakly supervised machine learning. In histopathology, MIL models have achieved remarkable success in tasks like tumor detection, biomarker prediction, and outcome prognostication.

  7. 29 de mai. de 2024 · As whole slide histopathology image (WSI) of tumor tissue contains a huge amount of hidden morphological features unexploited by pathologists, we investigate the potential of Artificial Intelligence (AI)-based analysis on WSI to predict prognosis in terms of 5-year overall survival in breast cancer patients.