Recent advances in diagnosis of skin lesions using dermoscopic images based on deep learning
Skin cancer is one of the most threatening cancers, which spreads to the other parts of the
body if not caught and treated early. During the last few years, the integration of deep …
body if not caught and treated early. During the last few years, the integration of deep …
[HTML][HTML] The role of artificial intelligence in early diagnosis and molecular classification of head and neck skin cancers: a multidisciplinary approach
ZM Semerci, HS Toru, E Çobankent Aytekin, H Tercanlı… - Diagnostics, 2024 - mdpi.com
Cancer remains a significant global health concern, with increasing genetic and metabolic
irregularities linked to its onset. Among various forms of cancer, skin cancer, including …
irregularities linked to its onset. Among various forms of cancer, skin cancer, including …
Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer …
O Attallah - Computers in Biology and Medicine, 2024 - Elsevier
Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it
is imperative to promptly identify and diagnose such conditions at their earliest stages using …
is imperative to promptly identify and diagnose such conditions at their earliest stages using …
CerCan· Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning
O Attallah - Expert Systems with Applications, 2023 - Elsevier
Cervical cancer ranks among the most prevalent causes of fatality in women around the
world. Early diagnosis is essential for treating cervical cancer using pap smear slides, but it …
world. Early diagnosis is essential for treating cervical cancer using pap smear slides, but it …
RADIC: A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics
O Attallah - Chemometrics and Intelligent Laboratory Systems, 2023 - Elsevier
Deep learning (DL) algorithms have demonstrated a high ability to perform speedy and
accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The …
accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The …
Cervical cancer diagnosis based on multi-domain features using deep learning enhanced by handcrafted descriptors
O Attallah - Applied Sciences, 2023 - mdpi.com
Cervical cancer, among the most frequent adverse cancers in women, could be avoided
through routine checks. The Pap smear check is a widespread screening methodology for …
through routine checks. The Pap smear check is a widespread screening methodology for …
GabROP: gabor wavelets-based CAD for retinopathy of prematurity diagnosis via convolutional neural networks
O Attallah - Diagnostics, 2023 - mdpi.com
One of the most serious and dangerous ocular problems in premature infants is retinopathy
of prematurity (ROP), a proliferative vascular disease. Ophthalmologists can use automatic …
of prematurity (ROP), a proliferative vascular disease. Ophthalmologists can use automatic …
A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images
O Attallah - Digital Health, 2022 - journals.sagepub.com
The accurate and rapid detection of the novel coronavirus infection, coronavirus is very
important to prevent the fast spread of such disease. Thus, reducing negative effects that …
important to prevent the fast spread of such disease. Thus, reducing negative effects that …
DIAROP: automated deep learning-based diagnostic tool for retinopathy of prematurity
O Attallah - Diagnostics, 2021 - mdpi.com
Retinopathy of Prematurity (ROP) affects preterm neonates and could cause blindness.
Deep Learning (DL) can assist ophthalmologists in the diagnosis of ROP. This paper …
Deep Learning (DL) can assist ophthalmologists in the diagnosis of ROP. This paper …
A deep learning-based diagnostic tool for identifying various diseases via facial images
O Attallah - Digital Health, 2022 - journals.sagepub.com
With the current health crisis caused by the COVID-19 pandemic, patients have become
more anxious about infection, so they prefer not to have direct contact with doctors or …
more anxious about infection, so they prefer not to have direct contact with doctors or …