Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review

P Jyothi, AR Singh - Artificial intelligence review, 2023 - Springer
Brain is an amazing organ that controls all activities of a human. Any abnormality in the
shape of anatomical regions of the brain needs to be detected as early as possible to reduce …

A survey on cancer detection via convolutional neural networks: Current challenges and future directions

P Sharma, DR Nayak, BK Balabantaray, M Tanveer… - Neural Networks, 2023 - Elsevier
Cancer is a condition in which abnormal cells uncontrollably split and damage the body
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …

Breast cancer detection using mammogram images with improved multi-fractal dimension approach and feature fusion

DA Zebari, DA Ibrahim, DQ Zeebaree… - Applied Sciences, 2021 - mdpi.com
Breast cancer detection using mammogram images at an early stage is an important step in
disease diagnostics. We propose a new method for the classification of benign or malignant …

[HTML][HTML] A survey of convolutional neural network in breast cancer

Z Zhu, SH Wang, YD Zhang - Computer modeling in engineering & …, 2023 - ncbi.nlm.nih.gov
Aims A large number of clinical trials have proved that if breast cancer is diagnosed at an
early stage, it could give patients more treatment options and improve the treatment effect …

HWA-SegNet: Multi-channel skin lesion image segmentation network with hierarchical analysis and weight adjustment

Q Han, H Wang, M Hou, T Weng, Y Pei, Z Li… - Computers in Biology …, 2023 - Elsevier
Convolutional neural networks (CNNs) show excellent performance in accurate medical
image segmentation. However, the characteristics of sample with small size and insufficient …

Classifying histopathological images of oral squamous cell carcinoma using deep transfer learning

S Panigrahi, BS Nanda, R Bhuyan, K Kumar, S Ghosh… - Heliyon, 2023 - cell.com
Oral cancer is a prevalent malignancy that affects the oral cavity in the region of head and
neck. The study of oral malignant lesions is an essential step for the clinicians to provide a …

Medical image identification methods: a review

J Li, P Jiang, Q An, GG Wang, HF Kong - Computers in Biology and …, 2023 - Elsevier
The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

[HTML][HTML] BreastMultiNet: A multi-scale feature fusion method using deep neural network to detect breast cancer

MM Rahman, MSI Khan, HMH Babu - Array, 2022 - Elsevier
Breast cancer is predominantly seen in women and is the leading cause of death in females
worldwide. Diagnosis of breast cancer using biopsy tissue images is expensive, time …

A hybrid cracked tiers detection system based on adaptive correlation features selection and deep belief neural networks

AM Al-Juboori, AH Alsaeedi, RR Nuiaa, ZAA Alyasseri… - Symmetry, 2023 - mdpi.com
Tire defects are crucial for safe driving. Specialized experts or expensive tools such as
stereo depth cameras and depth gages are usually used to investigate these defects. In …

[HTML][HTML] Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection

MM Rahman, MK Nasir, M Nur-A-Alam… - Journal of Pathology …, 2023 - Elsevier
Skin cancer is among the most common cancer types worldwide. Automatic identification of
skin cancer is complicated because of the poor contrast and apparent resemblance between …