Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application
M Mokoatle, V Marivate, D Mapiye, R Bornman… - BMC …, 2023 - Springer
Background Using visual, biological, and electronic health records data as the sole input
source, pretrained convolutional neural networks and conventional machine learning …
source, pretrained convolutional neural networks and conventional machine learning …
Homogeneous adaboost ensemble machine learning algorithms with reduced entropy on balanced data
Today's world faces a serious public health problem with cancer. One type of cancer that
begins in the breast and spreads to other body areas is breast cancer (BC). Breast cancer is …
begins in the breast and spreads to other body areas is breast cancer (BC). Breast cancer is …
A new model for brain tumor detection using ensemble transfer learning and quantum variational classifier
J Amin, MA Anjum, M Sharif, S Jabeen… - Computational …, 2022 - Wiley Online Library
A brain tumor is an abnormal enlargement of cells if not properly diagnosed. Early detection
of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a …
of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a …
Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans
Accurate radiogenomic classification of brain tumors is important to improve the standard of
diagnosis, prognosis, and treatment planning for patients with glioblastoma. In this study, we …
diagnosis, prognosis, and treatment planning for patients with glioblastoma. In this study, we …
Prostate cancer detection using deep learning and traditional techniques
Prostate cancer (PCa) is a severe type of cancer and causes major deaths among men due
to its poor diagnostic system. The images obtained from patients with carcinoma consist of …
to its poor diagnostic system. The images obtained from patients with carcinoma consist of …
Detecting prostate cancer using deep learning convolution neural network with transfer learning approach
Prostate Cancer in men has become one of the most diagnosed cancer and also one of the
leading causes of death in United States of America. Radiologists cannot detect prostate …
leading causes of death in United States of America. Radiologists cannot detect prostate …
Artificial intelligence-driven diagnosis of pancreatic cancer
BS Hameed, UM Krishnan - Cancers, 2022 - mdpi.com
Simple Summary Pancreatic cancer poses a grave threat to mankind, due to its poor
prognosis and aggressive nature. An accurate diagnosis is critical for implementing a …
prognosis and aggressive nature. An accurate diagnosis is critical for implementing a …
Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre-and early treatment predicts pathologic complete response
Purpose This study used machine learning classification of texture features from MRI of
breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular …
breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular …
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach
Accurate classification of brain tumor subtypes is important for prognosis and treatment. In
this study, we optimized and applied non‐deep learning methods based on hand‐crafted …
this study, we optimized and applied non‐deep learning methods based on hand‐crafted …