ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides

SP Praveen, PN Srinivasu, J Shafi, M Wozniak… - Scientific Reports, 2022 - nature.com
Carcinoma is a primary source of morbidity in women globally, with metastatic disease
accounting for most deaths. Its early discovery and diagnosis may significantly increase the …

[Retracted] Lung Cancer Classification and Prediction Using Machine Learning and Image Processing

S Nageswaran, G Arunkumar, AK Bisht… - BioMed research …, 2022 - Wiley Online Library
Lung cancer is a potentially lethal illness. Cancer detection continues to be a challenge for
medical professionals. The true cause of cancer and its complete treatment have still not …

Addressing the clinical feasibility of adopting circulating miRNA for breast cancer detection, monitoring and management with artificial intelligence and machine …

L Ling, AF Aldoghachi, ZX Chong, WY Ho… - International journal of …, 2022 - mdpi.com
Detecting breast cancer (BC) at the initial stages of progression has always been regarded
as a lifesaving intervention. With modern technology, extensive studies have unraveled the …

[HTML][HTML] An optimized XGBoost technique for accurate brain tumor detection using feature selection and image segmentation

CJ Tseng, C Tang - Healthcare Analytics, 2023 - Elsevier
An abnormal multiplication of cells in the brain forms malignant and benign brain tumors.
Malignant brain tumors are more prevalent than benign ones. Detecting a tumor's physical …

[Retracted] Classification and Detection of Mesothelioma Cancer Using Feature Selection‐Enabled Machine Learning Technique

M Shobana, VR Balasraswathi… - BioMed Research …, 2022 - Wiley Online Library
Cancer of the mesothelium, sometimes referred to as malignant mesothelioma (MM), is an
extremely uncommon form of the illness that almost always results in death. Chemotherapy …

The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review

P Dimopoulos, A Mulita, A Antzoulas… - Gastroenterology …, 2024 - termedia.pl
Artificial intelligence (AI) and image processing are revolutionising the diagnosis and
management of liver cancer. Recent advancements showcase AI's ability to analyse medical …

[Retracted] Diagnosis of Prostate Cancer Using GLCM Enabled KNN Technique by Analyzing MRI Images

L Anand, S Mewada, WD Shamsi… - BioMed Research …, 2023 - Wiley Online Library
Cancer has a disproportionately large influence on the death rate of adults. A patient needs
to get a diagnosis of their condition as quickly as is humanly feasible in order to have the …

Artificial Intelligence‐Based Medical Sensors for Healthcare System

M Chen, D Cui, H Haick, N Tang - Advanced Sensor Research, 2024 - Wiley Online Library
The aging population and the prevalence of infectious diseases have impacted the
traditional medical order, significantly increasing the burden on healthcare and adversely …

[PDF][PDF] Deep transfer learning for IDC breast cancer detection using fast AI technique and Sqeezenet architecture

S Chaudhury, K Sau, MA Khan, M Shabaz - Math Biosci Eng, 2023 - aimspress.com
One of the most effective approaches for identifying breast cancer is histology, which is the
meticulous inspection of tissues under a microscope. The kind of cancer cells, or whether …

Development of machine learning and medical enabled multimodal for segmentation and classification of brain tumor using MRI images

L Anand, KP Rane, LA Bewoor… - Computational …, 2022 - Wiley Online Library
The improper and excessive growth of brain cells may lead to the formation of a brain tumor.
Brain tumors are the major cause of death from cancer. As a direct consequence of this, it is …