Most approaches use interactive priors to find tumours and then segment them based on
tumour‐centric candidates. A fully convolutional network is demonstrated for end‐to‐end …

We offer a framework for automatically and accurately segmenting breast lesions from
Dynamic Contrast Enhanced (DCE) MRI in this paper. The framework is built using max flow …

This chapter will addresses challenges with the internet of things (IoT) and machine learning
(ML), how a bit of the trouble of machine learning executions are recorded here and should …

One of the most challenging aspects of crop protection will always be flying, crawling, and
chom** insects. With time, insects become susceptible to some insecticides, and hence …

Abstract The field of Information Technology has seen a considerable measure of
advancement and notoriety in the areas of web application and correspondence. These …

Fast advancements in equipment, programming, and correspondence advances have
permitted the rise of internet-associated tangible gadgets that give perception and …

Restorative applications have turned to the healthcare industry various therapeutic
applications require legitimate segmentation of medical images for an exact determination …

Big data today is being investigated to find the bits of knowledge that prompt better choices
and vital business moves. The data innovations are develo** to a point in which an ever …

Content-based image retrieval system (CBIR) is a challenging domain which is used in
various fields of research today, such as scientific research, medical, Internet, and other …

Accurate segmentation with denoising is the subject of research in the field of medical
imaging and computer vision. This paper presents an enhanced energy based active …