Results 181 to 190 of about 304,742 (351)
Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification [PDF]
Invasive ductal carcinoma (IDC) is the most prevalent form of breast cancer. Breast tissue histopathological examination is critical in diagnosing and classifying breast cancer. Although existing methods have shown promising results, there is still room for improvement in the classification accuracy and generalization of IDC using histopathology images.
arxiv
Prophylactic mastectomy and occult malignancy: Surgical and imaging considerations
Abstract Background Sentinel node biopsy (SLNB) is not routinely recommended for patients undergoing prophylactic mastectomy (PM), yet omission remains a subject of debate among surgeons. A modern patient cohort was examined to determine occult malignancy (OM) incidence within PM specimens to reinforce current recommendations.
Jessica L. Thompson+7 more
wiley +1 more source
Cuproplasia and cuproptosis, two sides of the coin
Abstract Copper is an essential micronutrient in the human body, mainly acting as a crucial cofactor required for a wide range of physiological processes across nearly all cell types. Recent advances revealed that tumor cells seize copper to fulfill their rapid proliferation, metastasis, immune evasion, and so on by reprogramming the copper regulatory ...
Kaizhong Lu+4 more
wiley +1 more source
Abstract Background and Objectives The aim of this study was to analyze factors associated with pathologic complete response (pCR) following neoadjuvant chemoradiation (NCRT) and esophagectomy for carcinoma of the esophagus (EC) and gastroesophageal junction (GEJ).
Syed Nusrath+16 more
wiley +1 more source
Deep Transfer Learning for Breast Cancer Classification [PDF]
Breast cancer is a major global health issue that affects millions of women worldwide. Classification of breast cancer as early and accurately as possible is crucial for effective treatment and enhanced patient outcomes. Deep transfer learning has emerged as a promising technique for improving breast cancer classification by utilizing pre-trained ...
arxiv
Breaking barriers: Smart vaccine platforms for cancer immunomodulation
Abstract Despite significant advancements in cancer treatment, current therapies often fail to completely eradicate malignant cells. This shortfall underscores the urgent need to explore alternative approaches such as cancer vaccines. Leveraging the immune system's natural ability to target and kill cancer cells holds great therapeutic potential ...
Mohammad Mahmoudi Gomari+11 more
wiley +1 more source
A Pathological Process Should be Carefully Conducted in the Breast: Mucocele-Like Lesion
Mucocele-like lesion (MLL) of the breast has been firstly described as a benign lesion resembling mucinous carcinoma of the breast. Subsequently, it has also been reported to be associated with ductal hyperplasia or breast carcinoma.
Zühal GÜCİN
doaj +1 more source
BCDNet: A Fast Residual Neural Network For Invasive Ductal Carcinoma Detection [PDF]
It is of great significance to diagnose Invasive Ductal Carcinoma (IDC) in early stage, which is the most common subtype of breast cancer. Although the powerful models in the Computer-Aided Diagnosis (CAD) systems provide promising results, it is still difficult to integrate them into other medical devices or use them without sufficient computation ...
arxiv
OBJETIVO: Avaliar a concordância nos diagnósticos histopatológicos de lesões mamárias proliferativas intraductais entre patologistas gerais e especialistas em patologia mamária.
Amanda Arantes Perez+3 more
doaj