Thus, the main objective of this study was to develop TokenMixer, a new hybrid system that integrates an attention mechanism and convolution layers to reduce the decision time and resources required efficiently, without compromising the performance accuracy. The proposed architecture, based on TokenLear...
Early detection is the initial step in the reduction of morbidity and mortality from breast cancer. While breast self-examination is encouraged, the yield for detection of small lesions is disappointing. The expert physician examiner is adept at discovering cancer of the breast, but his ability at...
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
000) for the year 2014–2018 in the USA, compared to other cancers in women [1]. According to the American Cancer Society, there will be 290,560 new cases of breast cancer in both sexes which is the second-highest of all cancer cases [1]. There are various ways...
Leave-one-out cross validation of HistoCell on spot-level cell type proportion prediction for ST data of breast cancer (an = 8 samples), prostate cancer (bn = 7 samples), and liver cancer (cn = 10 samples), with POLARIS as comparison. For each round of cross validation, ...
[10] pioneered effective breast tumor segmentation by enhancing image quality through contrast optimization and speckle noise reduction techniques. Subsequent advancements in deep learning have led to the development of more methods specifically aimed at accurately segmenting breast lesions from ultrasound ...
Breast cancer is a malignant condition characterized by the uncontrolled growth of abnormal cells in breast tissues, often forming a lump or mass that can be detected through screening or self-examination. The early detection of breast cancer is crucial, as it enables timely intervention, increases...
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Y-Net: Joint segmentation and classification for diagnosis of breast biopsy images; 2018. Qu C, Zhang T, Qiao H, Liu J, Tang Y, Yuille AL, Zhou Z. Abdomenatlas-8k: annotating 8,000 CT volumes for multi-organ segmentation in three weeks. In: Proceedings of the 37th international ...
For certain medical images, it is important and/or required that a user view all of a medical image at full resolution so that minute, but important, indicia in the medical image ar