Automated breast cancer multi-classification from histopathological images plays a key role in computer-aided breast cancer diagnosis or prognosis. Breast cancer multi-classification is to identify subordinate classes of breast cancer (Ductal carcinoma, Fibroadenoma, Lobular carcinoma, etc.). However, breas...
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Breast cancer is a common malignancy and a leading cause of cancer-related deaths in women worldwide. Its early diagnosis can significantly reduce the morbidity and mortality rates in women. To this end, histopathological diagnosis is usually followed as the gold standard approach. However, this pr...
"Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles." Machine vision and applications 24, no. 7 (2013): 1405-1420.Y. Zhang et al., "Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles," Mach. ...
Ovarian cancer (OC) remains one of the most lethal gynecological malignancies globally. Despite the implementation of various medical imaging approaches for OC screening, achieving accurate differential diagnosis of ovarian tumors continues to pose signi
Liver cancer is one of the most common malignant tumors in the world, ranking fifth in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The degree of malignancy of liver cancer can be divided into three types: poorly differentiated, moderately differentiated, an...
The most common type of BC is invasive carcinoma (IC), which can spread from the ducts or lobules to the surrounding tissue. When examining the pathological sections of patients with IC, several evaluations are required specifically for the invasive cancer area. Therefore, the accurate identificatio...
Clinical Feasibility of Microscopically-Guided Breast Needle Biopsy Using a Fiber-Optic Probe with Computer-Aided Detection Needle biopsy of small or nonpalpable breast lesions has a high nondiagnostic sampling rate even when needle position is guided by stereotaxis or ultrasoun... AM Zysk,FT Nguyen...
These results remained comparable on the validation cohort of patients with an AUC value of 66.7% and an accuracy value of 72.7%, respectively. This work is contributing to the recently undertaken investigation on how treat features extracted from raw WSIs to fulfil prognostic tasks involving ...
Category(training)(test)(total)(pixels) Benign4599K×9K Atypia1111226K×7K DCIS1210228K×10K Invasive32538K×44K Total30285810K×12K TABLE II: Quantitative comparison of different methods on the Breast Biopsy dataset. DenseMulti-IA-Single resolutionMultiple resolution ...