Results 11 to 20 of about 1,383,024 (290)
Staging of Skin Cancer Based on Hyperspectral Microscopic Imaging and Machine Learning
Biosensors, 2022 Skin cancer, a common type of cancer, is generally divided into basal cell carcinoma (BCC), squamous cell carcinoma (SCC) and malignant melanoma (MM). The incidence of skin cancer has continued to increase worldwide in recent years.
Lixin Liu +6 more
doaj +1 more source
, 2021 Breast cancer is most frequently diagnosed cancer and the second most frequent cause of death in women. Early detection and treatment is the key for the patient’s health and reduced mortality. Machine learning classification can be used to help physicians in early diagnosis and classification of breast tumours. In this paper, three types of classifiers
Manpreet Singh Katari +2 more
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Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2023 Transfer Learning (TL) is a popular deep learning technique used in medical image analysis, especially when data is limited. It leverages pre-trained knowledge from State-Of-The-Art (SOTA) models and applies it to specific applications through Fine ...
Mohamed Bal-Ghaoui +3 more
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Pan-cancer classifications of tumor histological images using deep learning [PDF]
, 2020 Histopathological images are essential for the diagnosis of cancer type and selection of optimal treatment. However, the current clinical process of manual inspection of images is time consuming and prone to intra- and inter-observer variability. Here we
Caruana, Dennis +8 more
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A Hierarchical Feature-Based Methodology to Perform Cervical Cancer Classification
Applied Sciences, 2021 Prevention of cervical cancer could be performed using Pap smear image analysis. This test screens pre-neoplastic changes in the cervical epithelial cells; accurate screening can reduce deaths caused by the disease.
Débora N. Diniz +6 more
doaj +1 more source
Pharmaceuticals, 2023 Cancer is considered one of the most burdensome diseases affecting lives and, hence, the economy. Breast cancer is one of the most common types of cancer.
Mohammed H. Abdelaziz +2 more
doaj +1 more source
A Framework to Discover Emerging Patterns for Application in Microarray Data [PDF]
, 2003 Various supervised learning and gene selection methods have been used for cancer diagnosis. Most of these methods do not consider interactions between genes, although this might be interesting biologically and improve classification accuracy.
Boulesteix, Anne-Laure, Tutz, Gerhard
core +3 more sources
Classification of Parathyroid Cancer
Annals of Surgical Oncology, 2012 Parathyroid cancer is rare and often has a poor outcome. There is no classification system that permits prediction of outcome in patients with parathyroid cancer. This study was designed to validate two prognostic classification systems developed by Talat and Schulte in 2010 ("Clinical Presentation, Staging and Long-term Evolution of Parathyroid Cancer,
Schulte, K +9 more
openaire +4 more sources
Study of microRNAs-21/221 as potential breast cancer biomarkers in Egyptian women [PDF]
, 2016 microRNAs (miRNAs) play an important role in cancer prognosis. They are small molecules, approximately 17–25 nucleotides in length, and their high stability in human serum supports their use as novel diagnostic biomarkers of cancer and other pathological
El Masry, Maha Rafik +4 more
core +1 more source
OncoImmunology, 2020 The consensus Immunoscore is a routine assay quantifying the adaptive immune response within the tumor microenvironment. It has a prognostic value that has been confirmed in a phase 3 clinical trial (NCCTG N0147) in stage III colon cancers.
Anastasia Lanzi +3 more
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