Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …

Abdominal computed tomography (CT) is a frequently used imaging modality for evaluating
gastrointestinal diseases. The detection of colorectal cancer is often realized using CT …

Colorectal cancer, which is frequent, recognized tumours in both genders around the globe.
As per the report generated by WHO in 2018, colon cancer placed in the third position …

In this study, we proposed a novel machine-learning-based functional electrical stimulation
(FES) control algorithm to enhance gait rehabilitation in post-stroke hemiplegic patients. The …

Breast cancer is the top cancer in women worldwide. Early detection of this disease and its
classification into cases can improve the prognosis and even save lives by promoting timely …

This study introduces an innovative framework designed specifically for accurate colon
segmentation in abdomen CT scans, tackling the distinct challenges inherent to this task …

Segmentation of the sigmoid colon is a crucial aspect of treating diverticulitis. It enables
accurate identification and localisation of inflammation, which in turn helps healthcare …

For agricultural productivity, one of the major concerns is the early detection of diseases for
their crops. Recently, some researchers have begun to explore Convolutional Neural …

Hepatic diseases are serious condition worldwide, and several times doctors analyse the
situation and elaborates a preoperative planning based exclusively on the medical images …

Deep learning has emerged as a key machine learning technology in object detection,
attracting attention for its results in medical imaging analysis. Convolutional neural networks …