Improving cervical cancer classification in PAP smear images with enhanced segmentation and deep progressive learning‐based techniques
Sign Up to like & getrecommendations! Published in 2024 at "Diagnostic Cytopathology"
DOI: 10.1002/dc.25295
Abstract: Cervical cancer, a prevalent and deadly disease among women, comes second only to breast cancer, with over 700 daily deaths. The Pap smear test is a widely utilized screening method for detecting cervical cancer in… read more here.
Keywords: cancer; cancer classification; cervical cancer; pap smear ... See more keywords
The International Collaboration for Cancer Classification and Research
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Cancer"
DOI: 10.1002/ijc.33260
Abstract: Gaps in the translation of research findings to clinical management have been recognized for decades. They exist for the diagnosis as well as the management of cancer. The international standards for cancer diagnosis are contained… read more here.
Keywords: classification; research; collaboration cancer; international collaboration ... See more keywords
An approach for cancer classification using optimization driven deep learning
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22596
Abstract: The normal and cancer cell tissues exhibit different gene expressions. Therefore, gene expression data are the effective source for cancer classification, in which the usage of the original gene expression data is challenging due to… read more here.
Keywords: cancer; optimization; cancer classification; gene expression ... See more keywords
Molecular cancer classification on microarrays gene expression data using wavelet‐based deep convolutional neural network
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22780
Abstract: Microarray data analysis is a most promising and difficult process due to the complex nature of data. It includes higher dimensionality, several unbalanced classes, a smaller sample size, the presence of noise, and a higher… read more here.
Keywords: cancer classification; classification; expression data; molecular cancer ... See more keywords
A Novel Transfer Learning Approach for Skin Cancer Classification on ISIC 2024 3D Total Body Photographs
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70065
Abstract: Skin cancer, and melanoma in particular, is a significant public health issue in the modern era because of the exponential death rate. Previous research has used 2D data to detect skin cancer, and the present… read more here.
Keywords: cancer; transfer learning; cancer classification; model ... See more keywords
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-019-00182-7
Abstract: The Deep Convolutional Neural Network (DCNN) is one of the most powerful and successful deep learning approaches. DCNNs have already provided superior performance in different modalities of medical imaging including breast cancer classification, segmentation, and… read more here.
Keywords: cancer classification; classification; network; breast cancer ... See more keywords
A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification
Sign Up to like & getrecommendations! Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-024-10984-z
Abstract: In breast cancer research, diverse data types and formats, such as radiological images, clinical records, histological data, and expression analysis, are employed. Given the intricate nature of natural phenomena, relying on the features of a… read more here.
Keywords: deep learning; breast cancer; cancer; cancer classification ... See more keywords
Data augmentation for cancer classification in oncogenomics: an improved KNN based approach
Sign Up to like & getrecommendations! Published in 2021 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-019-00283-w
Abstract: There is currently a great need for research in gene expression data to help with cancer classification in the field of oncogenomics. This is especially true since the disease occurs sporadically and often does not… read more here.
Keywords: classification; augmentation; cancer classification; data generated ... See more keywords
Fractional-atom search algorithm-based deep recurrent neural network for cancer classification
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03008-z
Abstract: Deep learning has been paid great attention in several fields for the good reason, and their results achieved were not before possible. In deep learning, the models are trained based on huge labelled dataset and… read more here.
Keywords: atom search; neural network; cancer; based deep ... See more keywords
A comparative study of PCS and PAM50 prostate cancer classification schemes
Sign Up to like & getrecommendations! Published in 2021 at "Prostate Cancer and Prostatic Diseases"
DOI: 10.1038/s41391-021-00325-4
Abstract: Background Two prostate cancer (PC) classification methods based on transcriptome profiles, a de novo method referred to as the “Prostate Cancer Classification System” (PCS) and a variation of the established PAM50 breast cancer algorithm, were… read more here.
Keywords: classification; clinical outcomes; prostate cancer; cancer classification ... See more keywords
Fusing global context with multiscale context for enhanced breast cancer classification
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-78363-w
Abstract: Breast cancer is the second most common type of cancer among women. Prompt detection of breast cancer can impede its advancement to more advanced phases, thereby elevating the probability of favorable treatment consequences. Histopathological images… read more here.
Keywords: cancer; context; cancer classification; breast cancer ... See more keywords