Results 11 to 20 of about 8,124,451 (335)

An adaptive feature selection algorithm based on MDS with uncorrelated constraints for tumor gene data classification

Mathematical Biosciences and Engineering, 2023
The developing of DNA microarray technology has made it possible to study the cancer in view of the genes. Since the correlation between the genes is unconsidered, current unsupervised feature selection models may select lots of the redundant genes ...
Wenkui Zheng, Guangyao Zhang, Chunling Fu , Bo Jin   +3 more
doaj   +1 more source

Cancer type classification using plasma cell-free RNAs derived from human and microbes

eLife, 2022
The utility of cell-free nucleic acids in monitoring cancer has been recognized by both scientists and clinicians. In addition to human transcripts, a fraction of cell-free nucleic acids in human plasma were proven to be derived from microbes and ...
Shanwen Chen, Yunfan Jin, Siqi Wang, Shaozhen Xing, Yingchao Wu, Yuhuan Tao, Yongchen Ma, Shuai Zuo, Xiaofan Liu, Yichen Hu, Hongyan Chen, Yuandeng Luo, Feng Xia, Chuanming Xie, Jianhua Yin, Xin Wang, Zhihua Liu, Ning Zhang, Zhenjiang Zech Xu, Zhi John Lu, Pengyuan Wang   +20 more
doaj   +1 more source

An Interpretable Skin Cancer Classification Using Optimized Convolutional Neural Network for a Smart Healthcare System

IEEE Access, 2023
Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces challenges such as long waiting times and subjective ...
Krishna Mridha, M. Uddin, Jungpil Shin, Susan Khadka, M. Mridha   +4 more
semanticscholar   +1 more source

Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review

Human-Centric Intelligent Systems, 2023
The domain of Machine learning has experienced Substantial advancement and development. Recently, showcasing a Broad spectrum of uses like Computational linguistics, image identification, and autonomous systems. With the increasing demand for intelligent
Abrar Yaqoob, R. Aziz, N. verma
semanticscholar   +1 more source

Lung Cancer Classification Using Modified U-Net Based Lobe Segmentation and Nodule Detection

IEEE Access, 2023
Lung cancer is the most common cause of cancer deaths worldwide. Early detection is crucial for successful treatment and increasing patient survival rates.
Iftikhar Naseer, Sheeraz Akram, Tehreem Masood, Muhammad Rashid, A. Jaffar   +4 more
semanticscholar   +1 more source

Pan-cancer classifications of tumor histological images using deep learning [PDF]

, 2020
Histopathological images are essential for the diagnosis of cancer type and selection of optimal treatment. However, the current clinical process of manual inspection of images is time consuming and prone to intra- and inter-observer variability. Here we
Caruana, Dennis, Chuang, Jeffrey H., Farahmand, Saman, Foroughi pour, Ali, Namburi, Sandeep, Noorbakhsh, Javad, Rimm, David, Soltanieh-Ha, Mohammad, Zarringhalam, Kourosh   +8 more
core   +1 more source

Xception ile Histopatolojik Görüntülerden Oral Kanser Teşhisi

Journal of Advanced Research in Natural and Applied Sciences, 2023
Oral kanser dünya genelinde sık görülen bir kanser türlerindendir. Etkili olan hücre türüne göre farklı oral kanser türleri vardır. Oral kanser türleri arasında en yüksek oran skuamöz hücreli türüne aittir.
Cihan Akyel
doaj   +1 more source

Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models

Inf., 2023
Skin cancer, particularly melanoma, has been recognized as one of the most lethal forms of cancer. Detecting and diagnosing skin lesions accurately can be challenging due to the striking similarities between the various types of skin lesions, such as ...
Muhammad Asad Arshed, Shahzad Mumtaz, Muhammad Ibrahim, Saeed Ahmed, Muhammad Tahir, Muhammad Shafi   +5 more
semanticscholar   +1 more source

Hybrid Filter and Genetic Algorithm-Based Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data

Processes, 2023
The advancements in intelligent systems have contributed tremendously to the fields of bioinformatics, health, and medicine. Intelligent classification and prediction techniques have been used in studying microarray datasets, which store information ...
Waleed Ali, Faisal Saeed
semanticscholar   +1 more source

Breast cancer classification

, 2021
Breast cancer is most frequently diagnosed cancer and the second most frequent cause of death in women. Early detection and treatment is the key for the patient’s health and reduced mortality. Machine learning classification can be used to help physicians in early diagnosis and classification of breast tumours. In this paper, three types of classifiers
Manpreet Singh Katari, Dennis Shasha, Sudarshini Tyagi   +2 more
  +5 more sources