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Short-and long-term chest-CT findings after recovery from COVID-19: a systematic review and meta-analysis
While ground-glass opacity, consolidation, and fibrosis in the lungs are some of the
hallmarks of acute SAR-CoV-2 infection, it remains unclear whether these pulmonary …
hallmarks of acute SAR-CoV-2 infection, it remains unclear whether these pulmonary …
DeepBreastCancerNet: A novel deep learning model for breast cancer detection using ultrasound images
Breast cancer causes hundreds of women's deaths each year. The manual detection of
breast cancer is time-consuming, complicated, and prone to inaccuracy. For Breast Cancer …
breast cancer is time-consuming, complicated, and prone to inaccuracy. For Breast Cancer …
A robust MRI-based brain tumor classification via a hybrid deep learning technique
The brain is the most vital component of the neurological system. Therefore, brain tumor
classification is a very challenging task in the field of medical image analysis. There has …
classification is a very challenging task in the field of medical image analysis. There has …
Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays
The human respiratory system might be seriously affected by COVID-19 infection. Therefore,
early classification of it is a crucial task. Quantum machine learning and quantum neural …
early classification of it is a crucial task. Quantum machine learning and quantum neural …
TumorDetNet: A unified deep learning model for brain tumor detection and classification
Accurate diagnosis of the brain tumor type at an earlier stage is crucial for the treatment
process and helps to save the lives of a large number of people worldwide. Because they …
process and helps to save the lives of a large number of people worldwide. Because they …
An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model
Introduction Recently, plant disease detection and diagnosis procedures have become a
primary agricultural concern. Early detection of plant diseases enables farmers to take …
primary agricultural concern. Early detection of plant diseases enables farmers to take …
Automated uterine fibroids detection in ultrasound images using deep convolutional neural networks
Fibroids of the uterus are a common benign tumor affecting women of childbearing age.
Uterine fibroids (UF) can be effectively treated with earlier identification and diagnosis. Its …
Uterine fibroids (UF) can be effectively treated with earlier identification and diagnosis. Its …
Enhancing explainability in brain tumor detection: A novel DeepEBTDNet model with LIME on MRI images
Early detection of brain tumors is vital for improving patient survival rates, yet the manual
analysis of the extensive 3D MRI images can be error‐prone and time‐consuming. This …
analysis of the extensive 3D MRI images can be error‐prone and time‐consuming. This …
Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning.
Black fungus is a rare and dangerous mycology that usually affects the brain and lungs and
could be life-threatening in diabetic cases. Recently, some COVID-19 survivors, especially …
could be life-threatening in diabetic cases. Recently, some COVID-19 survivors, especially …
Genetic-efficient fine-tuning with layer pruning on multimodal Covid-19 medical imaging
Medical image analysis using multiple modalities refers to the process of analyzing and
extracting information from more than one type of image in order to gain a comprehensive …
extracting information from more than one type of image in order to gain a comprehensive …