[PDF][PDF] Artificial intelligence techniques for cancer detection and classification: review study
Cancer is the general name for a group of more than 100 diseases. Although cancer
includes different types of diseases, they all start because abnormal cells grow out of control …
includes different types of diseases, they all start because abnormal cells grow out of control …
Comparison of lung cancer detection algorithms
Ö Günaydin, M Günay, Ö Şengel - 2019 Scientific Meeting on …, 2019 - ieeexplore.ieee.org
Lung cancer is a kind of difficult to diagnose and dangerous cancer. It commonly causes
death both men and women so fast accurate analysis of nodules is more important for …
death both men and women so fast accurate analysis of nodules is more important for …
Implementation of artificial intelligence techniques for cancer detection
D Patel, Y Shah, N Thakkar, K Shah, M Shah - Augmented Human …, 2020 - Springer
Diseases like cancer have been termed as chronic fatal disease because of its deadly
nature. The reason why cancer is termed as fatal is cancer progresses faster, and in most of …
nature. The reason why cancer is termed as fatal is cancer progresses faster, and in most of …
Cytology image analysis techniques toward automation: Systematically revisited
Cytology is a branch of pathology that deals with the microscopic examination of cells for
diagnosis of carcinoma or inflammatory conditions. In the present work, the term cytology is …
diagnosis of carcinoma or inflammatory conditions. In the present work, the term cytology is …
Automated AJCC staging of non-small cell lung cancer (NSCLC) using deep convolutional neural network (CNN) and recurrent neural network (RNN)
Purpose A large chunk of lung cancers are of the type non-small cell lung cancer (NSCLC).
Both the treatment planning and patients' prognosis depend greatly on factors like AJCC …
Both the treatment planning and patients' prognosis depend greatly on factors like AJCC …
A survey on artificial intelligence techniques for chronic diseases: open issues and challenges
Artificial Intelligence (AI) has given significant solutions to the healthcare domain for
analyzing various chronic diseases. With the advent of high-end systems, ie, Graphics …
analyzing various chronic diseases. With the advent of high-end systems, ie, Graphics …
Identification the number of Mycobacterium tuberculosis based on sputum image using local linear estimator
N Chamidah, YS Yonani, E Ana, B Lestari - Bulletin of Electrical …, 2020 - beei.org
Infectious disease caused by infection of Mycobacterium tuberculosis is called tuberculosis
(TB). A common method in detecting TB is by identifying number of mycobacterium TB in …
(TB). A common method in detecting TB is by identifying number of mycobacterium TB in …
[PDF][PDF] Prediction of lung cancer using image processing techniques: a review
AK Tiwari - Advanced Computational Intelligence: An International …, 2016 - academia.edu
Prediction of lung cancer is most challenging problem due to structure of cancer cell, where
most of the cells are overlapped each other. The image processing techniques are mostly …
most of the cells are overlapped each other. The image processing techniques are mostly …
[PDF][PDF] Early detection of lung cancer using neural network techniques
Effective identification of lung cancer at an initial stage is an important and crucial aspect of
image processing. Several data mining methods have been used to detect lung cancer at …
image processing. Several data mining methods have been used to detect lung cancer at …
Colorectal cancer tissue classification using semi-supervised hypergraph convolutional network
Colorectal Cancer (CRC) is a leading cause of death around the globe, and therefore, the
analysis of tumor micro environment in the CRC WSIs is important for the early detection of …
analysis of tumor micro environment in the CRC WSIs is important for the early detection of …