Results 61 to 70 of about 202,762 (305)
Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization [PDF]
, 2012 Histopathological images are an important resource for clinical diagnosis and biomedical research. From an image understanding point of view, the automatic annotation of these images is a challenging problem.
González Osorio, Fabio Augusto +3 more
core
A Multimodal Deep Learning Pipeline for Enhanced Detection and Classification of Oral Cancer
Engineering ProceedingsOral cancer represents a life-threatening malignancy with profound implications for patient survival and quality of life. Oral squamous cell carcinoma (OSCC), the predominant histological variant of oral cancer, constitutes a substantial healthcare ...
Idriss Tafala +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Tissue object patterns for segmentation in histopathological images [PDF]
, 2011 Date of Conference: October 26 - 29, 2011In the current practice of medicine, histopathological examination is the gold standard for routine clinical diagnosis and grading of cancer.
Gündüz-Demir, Çiğdem +1 more
core +1 more source
Breast cancer histopathological images recognition based on two-stage nuclei segmentation strategy.
, 2022 Pathological examination is the gold standard for breast cancer diagnosis. The recognition of histopathological images of breast cancer has attracted a lot of attention in the field of medical image processing.
Wendong Zhang +6 more
core +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Data_Sheet_1_Deep Learning Based Analysis of Histopathological Images of Breast Cancer.DOCX
, 2019 Breast cancer is associated with the highest morbidity rates for cancer diagnoses in the world and has become a major public health issue. Early diagnosis can increase the chance of successful treatment and survival. However, it is a very challenging and
Ran Liu (303585) +3 more
core +1 more source
Molecular Oncology, EarlyView.A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source
A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images [PDF]
Background/Objectives: Despite recent advances in research, cancer remains a significant public health concern and a leading cause of death. Among all cancer types, lung cancer is the most common cause of cancer-related deaths, with most cases linked to ...
Ozal Yildirim +7 more
core +1 more source
BMC Oral HealthProblem Oral squamous cell carcinoma (OSCC) is the eighth most prevalent cancer globally, leading to the loss of structural integrity within the oral cavity layers and membranes.
Aradhana Soni +5 more
doaj +1 more source