Artificial Intelligence Based Prostate Cancer Classification Model Using Biomedical Images

Text Classification using Artificial Intelligence

Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as produc...

TRUS Image Classification for Prostate cancer using Computational Intelligence

In medical image analysis image classification is key task for diagnosing the disease of the patient. The classification results assist the doctors to treat the patient according to the severances of the diseases. TRUS imaging is one of the most important medical imaging technologies for scanning the prostate to detect the dissimilarity in the images. It is hard to extort the region of interest...

Artificial Intelligence Approach to Breast Cancer Classification

Multi-criteria ABC analysis using artificial-intelligence-based classification techniques

ABC analysis is a popular and effective method used to classify inventory items into specific categories that can be managed and controlled separately. Conventional ABC analysis classifies inventory items three categories: A, B, or C based on annual dollar usage of an inventory item. Multi-criteria inventory classification has been proposed by a number of researchers in order to take other impo...

Prostate segmentation and lesions classification in CT images using Mask R-CNN

Purpose: Non-cancerous prostate lesions such as prostate calcification, prostate enlargement, and prostate inflammation cause too many problems for men’s health. This research proposes a novel approach, a combination of image processing techniques and deep learning methods for classification and segmentation of the prostate in CT-scan images by considering the experienced physicians’ reports. ...