Artificial intelligence in cosmetic dermatology: a systematic literature review

P Vatiwutipong, S Vachmanus, T Noraset… - IEEE Access, 2023 - ieeexplore.ieee.org
Over the last ten years, the field of dermatology has experienced significant advancements
through the utilization of artificial intelligence (AI) technologies. The adoption of such …

An analysis of detection and diagnosis of different classes of skin diseases using artificial intelligence-based learning approaches with hyper parameters

J Singh, JK Sandhu, Y Kumar - Archives of Computational Methods in …, 2024 - Springer
In recent years, metaheuristic optimizers have grown in popularity due to their ability to
efficiently optimize complex, high-dimensional problems that are difficult to solve using …

Early diagnosis of brain tumour mri images using hybrid techniques between deep and machine learning

EM Senan, ME Jadhav, TH Rassem… - … Methods in Medicine, 2022 - Wiley Online Library
Cancer is considered one of the most aggressive and destructive diseases that shortens the
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …

SCDNet: a deep learning-based framework for the multiclassification of skin cancer using dermoscopy images

A Naeem, T Anees, M Fiza, RA Naqvi, SW Lee - Sensors, 2022 - mdpi.com
Skin cancer is a deadly disease, and its early diagnosis enhances the chances of survival.
Deep learning algorithms for skin cancer detection have become popular in recent years. A …

Deep and hybrid learning technique for early detection of tuberculosis based on X-ray images using feature fusion

SM Fati, EM Senan, N ElHakim - Applied Sciences, 2022 - mdpi.com
Tuberculosis (TB) is a fatal disease in developing countries, with the infection spreading
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …

Hybrid techniques for the diagnosis of acute lymphoblastic leukemia based on fusion of CNN features

IA Ahmed, EM Senan, HSA Shatnawi, ZM Alkhraisha… - Diagnostics, 2023 - mdpi.com
Acute lymphoblastic leukemia (ALL) is one of the deadliest forms of leukemia due to the
bone marrow producing many white blood cells (WBC). ALL is one of the most common …

Early diagnosis of oral squamous cell carcinoma based on histopathological images using deep and hybrid learning approaches

SM Fati, EM Senan, Y Javed - Diagnostics, 2022 - mdpi.com
Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancer
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …

A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI

N Ahmad, JH Shah, MA Khan, J Baili, GJ Ansari… - Frontiers in …, 2023 - frontiersin.org
Skin cancer is a serious disease that affects people all over the world. Melanoma is an
aggressive form of skin cancer, and early detection can significantly reduce human mortality …

Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning

BA Mohammed, EM Senan, ZG Al-Mekhlafi… - Electronics, 2022 - mdpi.com
Intracranial hemorrhaging is considered a type of disease that affects the brain and is very
dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT …

Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer's disease

I Abunadi - Connection Science, 2022 - Taylor & Francis
Alzheimer's, or so-called dementia, is one of the types of diseases that affects brain cells and
causes memory loss, difficulty in thinking, and forgetfulness. Thus far, there is no effective …