Breast cancerHistologyDigital pathologyChallengeComparative studyDeep learningBreast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to diagnose the type of breast cancer. This ...
Classification of breast cancer histology images using transfer learning 一、数据集: BACH 2018 grand challenge (ICIAR 2018 Grand Challenge on BreAst Cancer Histology images) https://iciar2018-challenge.grand-challenge.org/home/ 其实算得上Camelyon 16和17 的后继版本。 所不同的是,camelyon 16的数据只...
Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks 一、预训练 作者采用两种预训练。 第一种:ImageNet,网上现成的模型参数,不再赘述。 第二种:使用Camelyon16&17的数据进行预训练。 以132um/pixel的精度,裁剪157*157的patch,normal与tumor各10w张左右用于训练,验证使用normal的3w和...
A dataset for breast cancer histopathological image classification. IEEE Trans. Biomed. Eng. 63, 1455–1462 (2015). Article PubMed Google Scholar Aresta, G. et al. Bach: Grand challenge on breast cancer histology images. Med. Image Anal. 56, 122–139 (2019). Article PubMed Google ...
We tested our method on the breast cancer histology dataset from the ICIAR 2018 grand challenge. The proposed MSMV-PFENet achieved 93.0\% and 94.8\% accuracies at the patch and image levels, respectively. This method can potentially benefit the clinical cancer diagnosis....
Breast cancer can be broadly categorized based on their histology into either carcinoma in situ or invasive carcinoma. The carcinoma in situ is further divided into lobular or ductal, both confined within either the milk gland (lobule) or milk duct, respectively. The carcinoma in situ represents ...
BREASTDiseaseInfluence of cancer histology on the success of fine needle aspiration of the breast George - 《Plastic & Reconstructive Surgery》 被引量: 0发表: 1990年 Fine-needle aspiration of the breast: diagnoses and pitfalls. A review of 3545 cases. Fine-needle aspiration is now a recognized...
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH) - tjuhua/ICIAR2018
Approximately 70% of patients with advanced breast cancer develop bone metastases, accompanied by complications, such as bone pain, fracture, and hypercalcemia. However, our understanding of the molecular mechanisms that govern this process remains fragm
Breast cancer is the second most frequent cancer in the world. It is a heterogeneous disease and the leading cause of cancer mortality in women. Advances in molecular technologies allowed for the identification of new and more specifics biomarkers for br