Background The prediction of breast cancer subtypes plays a key role in the diagnosis and
prognosis of breast cancer. In recent years, deep learning (DL) has shown good …

Background of the study Breast cancer is the most fatal disease that widely affects women.
When the cancerous lumps grow from the cells of the breast, it causes breast cancer. Self …

Deep learning techniques have achieved remarkable success in lesion segmentation and
classification between benign and malignant tumors in breast ultrasound images. However …

Owing to the growing incidences, breast cancer is considered the world's most prevalent
cancer both in terms of morbidity and mortality rates. While breast cancer treatment is quite …

Colorectal cancer (CRC) is a serious health problem globally, needing early identification for
optimal treatment. Ingestion of mutagens such as heterocyclic amines (HCA), which are …

Standard method of assessing breast cancer is a triple test assessment. In this method,
initially a thorough medical examination and patient history is evaluated, secondly imaging …

Images can be deteriorated for a variety of reasons. For instance, blurry images are
produced by out-of-focus optics, while noise is produced by variations in electrical imaging …

Breast cancer is severe disease with high fatality rate in women. As per the National breast
cancer foundation of India, one out of 5 casualties occurs due to breast cancer. Data mining …

Context: Rice is one of the world's most consumed food and requires high production. Over
rice production, farmers may face several scenarios that can compromise the production …

The primary objective of this study is to evaluate the performance of Convolutional Neural
Network (CNN) and Adaptive Neuro Fuzzy Inference System (ANFIS) in improving the …