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A lightweight hybrid deep learning system for cardiac valvular disease classification
Cardiovascular diseases (CVDs) are a prominent cause of death globally. The introduction
of medical big data and Artificial Intelligence (AI) technology encouraged the effort to …
of medical big data and Artificial Intelligence (AI) technology encouraged the effort to …
[HTML][HTML] Cervical net: A novel cervical cancer classification using feature fusion
Cervical cancer, a common chronic disease, is one of the most prevalent and curable
cancers among women. Pap smear images are a popular technique for screening cervical …
cancers among women. Pap smear images are a popular technique for screening cervical …
Deep learning models for detecting respiratory pathologies from raw lung auscultation sounds
In recent years deep learning models improve the diagnosis performance of many diseases
especially respiratory diseases. This paper will propose an evaluation for the performance of …
especially respiratory diseases. This paper will propose an evaluation for the performance of …
Predicting cervical cancer biopsy results using demographic and epidemiological parameters: A custom stacked ensemble machine learning approach
The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide.
This gynecological carcinoma causes many deaths, even though it can be treated by …
This gynecological carcinoma causes many deaths, even though it can be treated by …
A novel multi-task learning network based on melanoma segmentation and classification with skin lesion images
Melanoma is known worldwide as a malignant tumor and the fastest-growing skin cancer
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …
[HTML][HTML] Analysis of cytology pap smear images based on ensemble deep learning approach
The fourth most prevalent cancer in women is cervical cancer, and early detection is crucial
for effective treatment and prognostic prediction. Conventional cervical cancer screening …
for effective treatment and prognostic prediction. Conventional cervical cancer screening …
Handwritten Gujarati numerals classification based on deep convolution neural networks using transfer learning scenarios
In recent years, handwritten numeral classification has achieved remarkable attention in the
field of computer vision. Handwritten numbers are difficult to recognize due to the different …
field of computer vision. Handwritten numbers are difficult to recognize due to the different …
Comparative study and analysis on skin cancer detection using machine learning and deep learning algorithms
Exposure to UV rays due to global warming can lead to sunburn and skin damage,
ultimately resulting in skin cancer. Early prediction of this type of cancer is crucial. A detailed …
ultimately resulting in skin cancer. Early prediction of this type of cancer is crucial. A detailed …
[HTML][HTML] LiverNet: diagnosis of liver tumors in human CT images
Liver cancer contributes to the increasing mortality rate in the world. Therefore, early
detection may lead to a decrease in morbidity and increase the chance of survival rate. This …
detection may lead to a decrease in morbidity and increase the chance of survival rate. This …
Deep Learning in Written Arabic Linguistic Studies: A Comprehensive Survey
M Almanea - IEEE Access, 2024 - ieeexplore.ieee.org
This article presents a comprehensive survey on recent applications of deep learning (DL)
algorithms to written Arabic. Despite the increasing amount of user-generated content in …
algorithms to written Arabic. Despite the increasing amount of user-generated content in …