[HTML][HTML] Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection
Breast cancer is the most prevalent cancer that affects women all over the world. Early
detection and treatment of breast cancer could decline the mortality rate. Some issues such …
detection and treatment of breast cancer could decline the mortality rate. Some issues such …
Breast cancer mass detection in DCE–MRI using deep-learning features followed by discrimination of infiltrative vs. in situ carcinoma through a machine-learning …
Featured Application Automatic CAD system in detecting tumors as a valuable support to
radiologists for detection and characterization of breast cancers in dynamic contrast …
radiologists for detection and characterization of breast cancers in dynamic contrast …
Volumetric estimation of the damaged area in the human brain from 2D MR image
In this article, we present a volumetric estimate of the mutilated part in the human brain from
a typical 2D MR image that is directly rendered from the scanner, which is first of its kind in …
a typical 2D MR image that is directly rendered from the scanner, which is first of its kind in …
Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours
In medical computer aided diagnosis systems, image segmentation is one of the major pre-
processing steps used to ensure only the region of interest, such as the breast region, will be …
processing steps used to ensure only the region of interest, such as the breast region, will be …
Attention-Based Active Learning Framework for Segmentation of Breast Cancer in Mammograms
Breast cancer is one of most serious malignant tumors that affect women's health. To carry
out the early screening of breast cancer, mammography provides breast cancer images for …
out the early screening of breast cancer, mammography provides breast cancer images for …
CNN-FS-IFuzzy: A new enhanced learning model enabled by adaptive tumor segmentation for breast cancer diagnosis using 3D mammogram images
T Umamaheswari, YM Mohanbabu - Knowledge-Based Systems, 2024 - Elsevier
In recent years, breast cancer has caused death among women around the world. Detecting
breast cancer in the early stage helps to eradicate the survival rate to aid accurate medical …
breast cancer in the early stage helps to eradicate the survival rate to aid accurate medical …
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
Binary breast cancer tumor segmentation with Magnetic Resonance Imaging (MRI) data is
typically trained and evaluated on private medical data, which makes comparing deep …
typically trained and evaluated on private medical data, which makes comparing deep …
Feature selection and classification for automatic detection of retinal nerve fibre layer thinning in retinal fundus images
Glaucoma which is a leading cause of blindness in the world is not a single disease but a
group of disorders with diverse clinical manifestations. If not treated at an early stage it leads …
group of disorders with diverse clinical manifestations. If not treated at an early stage it leads …
Breast lesion segmentation in DCE-MRI Imaging
Breast cancer is one of the most common cancers in women. Typically, the course of the
disease is asymptomatic in the early stages of breast cancer. Imaging breast examinations …
disease is asymptomatic in the early stages of breast cancer. Imaging breast examinations …
Performance analysis of various nanocontrast agents and CAD systems for cancer diagnosis
R Thanapandiyaraj, T Rajendran… - Current Medical …, 2019 - benthamdirect.com
Background: Cancer is a disease which involves the abnormal cell growth that has the
potential of dispersal to other parts of the body. Among various conventional anatomical …
potential of dispersal to other parts of the body. Among various conventional anatomical …