An improved ensembling techniques for prediction of breast cancer tissues
Breast cancer is one of the most frequent malignancies in women and accounts for a
disproportionate number of new cancer cases and deaths worldwide. Doctors explored …
disproportionate number of new cancer cases and deaths worldwide. Doctors explored …
Identification of polyp from colonoscopy images by deep belief network based polyp detector integration model
Cancer is a disease involving unusual cell growth likely to spread to other parts of the body.
According to WHO 2020 report, colorectal malignancy is the globally accepted second …
According to WHO 2020 report, colorectal malignancy is the globally accepted second …
Histopathological Colorectal Cancer Image Classification by Using Inception V4 CNN Model
It is crucial to analyze colorectal cancer histological pictures with objectivity. One of the main
causes of mortality globally is colorectal cancer (CRC), sometimes referred to as bowel …
causes of mortality globally is colorectal cancer (CRC), sometimes referred to as bowel …
Optimized Deep Belief Networks Based Categorization of Type 2 Diabetes using Tabu Search Optimization.
Diabetics mellitus has the potential to result in numerous challenges. Based on the
increasing morbidity rates in recent years, it is projected that the global diabetic population …
increasing morbidity rates in recent years, it is projected that the global diabetic population …
Improving support vector machine and backpropagation performance for diabetes mellitus classification
A Prastyo, S Sutikno, K Khadijah - Computer Science and Information …, 2024 - iaesprime.com
Diabetes mellitus (DM) is a glucose disorder disease in the human body that contributes
significantly to the high mortality rate. Various studies on early detection and classification …
significantly to the high mortality rate. Various studies on early detection and classification …
Enhancing Lung Cancer Diagnosis through Advanced CT Scan Image Analysis: A Novel Approach using Mask-EffNet
Identifying lung cancer can be done effectively by examining CT scan images. It is
necessary to have an intelligent diagnostic system. The recent evolution of image …
necessary to have an intelligent diagnostic system. The recent evolution of image …
Chronological Evolution: Development and Identification of an Odia Handwritten Character Dataset Using Deep Learning
There is a level of saturation obtained about Online or Printed character recognition about
Indian script. Comparing the research of different Indian languages obtained yet a few …
Indian script. Comparing the research of different Indian languages obtained yet a few …
Rare Diseases Severity Prediction System Using a Machine Learning-Based Technique
NB Bahadure, S Dash, S Padhy… - … for Innovations in …, 2023 - ieeexplore.ieee.org
The development of predictive models for rare diseases using machine learning is an
important area of research with the potential to improve healthcare outcomes. Rare diseases …
important area of research with the potential to improve healthcare outcomes. Rare diseases …
Improving Slope Stability in Open Cast Mines via Machine Learning based IoT Framework
Slope stability has been a matter of concern for most geologists, mainly due to the fact that
unstable slopes cause a greater number of accidents, which in turn reduces efficiency of …
unstable slopes cause a greater number of accidents, which in turn reduces efficiency of …