Deep learning for lung cancer diagnosis, prognosis and prediction using histological and cytological images: a systematic review

A Davri, E Birbas, T Kanavos, G Ntritsos, N Giannakeas… - Cancers, 2023 - mdpi.com
Simple Summary Lung cancer is one of the most common and deadly malignancies
worldwide. Microscopic examination of histological and cytological lung specimens can be a …

[PDF][PDF] Classification Of Colon Cancer Using Deep Learning Techniques On Histopathological Images

AA Khan, M Arslan, A Tanzil, RA Bhatty… - Migration …, 2024 - researchgate.net
Colon cancer is widely spread and deadly type of cancer in humans. Smoking contributes to
the growth of lung cancer, which leads to an unbalanced diet, which can lead to colon …

Hybrid techniques of facial feature image analysis for early detection of autism spectrum disorder based on combined CNN features

B Awaji, EM Senan, F Olayah, EA Alshari, M Alsulami… - Diagnostics, 2023 - mdpi.com
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …

Exploration and enhancement of classifiers in the detection of lung cancer from histopathological images

K Shanmugam, H Rajaguru - Diagnostics, 2023 - mdpi.com
Lung cancer is a prevalent malignancy that impacts individuals of all genders and is often
diagnosed late due to delayed symptoms. To catch it early, researchers are developing …

Analysis of WSI images by hybrid systems with fusion features for early diagnosis of cervical cancer

M Hamdi, EM Senan, B Awaji, F Olayah, ME Jadhav… - Diagnostics, 2023 - mdpi.com
Cervical cancer is one of the most common types of malignant tumors in women. In addition,
it causes death in the latter stages. Squamous cell carcinoma is the most common and …

An End-to-End Lightweight Multi-Scale CNN for the Classification of Lung and Colon Cancer with XAI Integration

MA Hasan, F Haque, SR Sabuj, H Sarker, MOF Goni… - Technologies, 2024 - mdpi.com
To effectively treat lung and colon cancer and save lives, early and accurate identification is
essential. Conventional diagnosis takes a long time and requires the manual expertise of …

The Art of YOLOv8 Algorithm in Cancer Diagnosis using Medical Imaging

N Palanivel, S Deivanai… - … Conference on System …, 2023 - ieeexplore.ieee.org
Cancer continues to be a global health challenge, demanding innovative solutions to
improve early detection and treatment outcomes. This research project harnesses the power …

Image Processing-based Resource-Efficient Transfer Learning Approach for Cancer Detection Employing Local Binary Pattern Features

EA Alabdulqader, M Umer, K Alnowaiser… - Mobile Networks and …, 2024 - Springer
Cancer is a life-threatening disease and has witnessed a substantial increase during the
past few years. With a further expected increase in the future, it poses a huge challenge for …

Advancing Oncology Diagnostics: AI-Enabled Early Detection of Lung Cancer through Hybrid Histological Image Analysis

NF Noaman, BM Kanber, AAL Smadi, L Jiao… - IEEE …, 2024 - ieeexplore.ieee.org
Against the backdrop of the pervasive global challenge of cancer, with particular emphasis
on lung cancer (LC), this study centers its investigation on the critical realm of early detection …

Optimized Deep Features for Colon Histology Image Retrieval

R Boukerma, B Boucheham… - 2024 6th International …, 2024 - ieeexplore.ieee.org
Recently, deep learning techniques have been widely used in content-based image retrieval
(CBIR) due to their success in bridging the" semantic gap" issue. Nevertheless, the high …