Ultrasound images of ductal carcinoma in situ (DCIS) show a wide range of variations from mass to non-mass lesions. This article describes the characteristics of ultrasound images of DCIS based on the BC-02 study conducted by The Japanese Association of Breast and Thyroid Sonology (JABTS). In...
benign, carcinoma in situ, and invasive carcinoma. As shown in Fig.1, we performed six view transformations (raw, 90∘, 180∘, 270∘,x-flip,y-flip) on an input image after preprocessing. In each view, the key
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,
[4] proposed an invasive ductal carcinoma (IDC) detection method based on deep transfer learning using pre-trained CNN models to classify IDC and non-IDC image patches. The method obtained a balanced accuracy of 91.57% and an F-score of 94.11% in the balanced group on the image blocks ...
PhyllodesPhyllodes TumorPulmonary embolusHippocampal sclerosisDuctal AdenomaAspiration pneumoniaDCIS involving Sclerosing AdenosisInvasive Ductal CarcinomaFat emboliAtypical ductal hyperplasiaDCIS, solid type with comedonecrosisGunshot wound, clothing fibersDiffuse alveolar damageApocrine CarcinomaInvasive Neuroendocrine ...
professor of English literature and medical humanities, received a diagnosis of stage I invasive ductal carcinoma of the breast, she asked photographer Wendy Palmer to record the appearance of her body prior to a double mastectomy. Surprised by the beauty of the images they created, the 2 worked...
following a mastectomy and reconstruction with a silicone breast implant. (Mammograms can be performed on breast implantsif less compression is used than what is required with natural breast tissue.) This woman had been successfully treated for a type of breast cancer calledinvasive ductal carcinoma....
Identifying the invasive cancer area is a crucial step in the automated diagnosis of digital pathology slices of the breast. When examining the pathological sections of patients with invasive ductal carcinoma, several evaluations are required specifically for the invasive cancer area. However, currently ...
ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides Article Open access 02 December 2022 Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images Article Open acc...
Conversely, in ROIs indicative of low sensitivity, the presence of necrosis, increases in mitotic count and cribriform DCIS (ductal carcinoma in situ) can be observed. Histological patterns associated with sensitivity to different drugs We investigated the association of visual histological patterns in ...