[HTML][HTML] Deep learning for medical image cryptography: A comprehensive review

K Lata, LR Cenkeramaddi - Applied Sciences, 2023 - mdpi.com
Electronic health records (EHRs) security is a critical challenge in the implementation and
administration of Internet of Medical Things (IoMT) systems within the healthcare sector's …

[HTML][HTML] A hybrid deep learning-based approach for brain tumor classification

A Raza, H Ayub, JA Khan, I Ahmad, A S. Salama… - Electronics, 2022 - mdpi.com
Brain tumors (BTs) are spreading very rapidly across the world. Every year, thousands of
people die due to deadly brain tumors. Therefore, accurate detection and classification are …

A review paper about deep learning for medical image analysis

B Sistaninejhad, H Rasi, P Nayeri - … and Mathematical Methods …, 2023 - Wiley Online Library
Medical imaging refers to the process of obtaining images of internal organs for therapeutic
purposes such as discovering or studying diseases. The primary objective of medical image …

Identification and prediction of brain tumor using VGG-16 empowered with explainable artificial intelligence

F Ahmed, M Asif, M Saleem, UF Mushtaq… - International Journal of …, 2023 - ijcis.com
The abnormal development of cells is what causes brain tumors. It is one of the world's
leading causes of mortality among adults. Brain tumor detection in a timely manner can …

[HTML][HTML] Classification framework for medical diagnosis of brain tumor with an effective hybrid transfer learning model

NA Samee, NF Mahmoud, G Atteia, HA Abdallah… - Diagnostics, 2022 - mdpi.com
Brain tumors (BTs) are deadly diseases that can strike people of every age, all over the
world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require …

[HTML][HTML] Brain tumor classification and detection using hybrid deep tumor network

GA Amran, MS Alsharam, AOA Blajam, AA Hasan… - Electronics, 2022 - mdpi.com
Brain tumor (BTs) is considered one of the deadly, destructive, and belligerent disease, that
shortens the average life span of patients. Patients with misdiagnosed and insufficient …

Multiclass classification of brain tumors using a novel CNN architecture

H Kibriya, M Masood, M Nawaz, T Nazir - Multimedia tools and …, 2022 - Springer
Brain tumors are a deadly condition that radiologists have a tough time diagnosing. It is
critical to make treatment-related decisions based on accurate and timely categorization of …

[HTML][HTML] Detection and classification of brain tumor using hybrid deep learning models

B Babu Vimala, S Srinivasan, SK Mathivanan… - Scientific Reports, 2023 - nature.com
Accurately classifying brain tumor types is critical for timely diagnosis and potentially saving
lives. Magnetic Resonance Imaging (MRI) is a widely used non-invasive method for …

[HTML][HTML] A novel approach for brain tumor classification using an ensemble of deep and hand-crafted features

H Kibriya, R Amin, J Kim, M Nawaz, R Gantassi - Sensors, 2023 - mdpi.com
One of the most severe types of cancer caused by the uncontrollable proliferation of brain
cells inside the skull is brain tumors. Hence, a fast and accurate tumor detection method is …

[HTML][HTML] Medikal görüntü işlemede derin öğrenme uygulamaları

AG Eker, N Duru - Acta Infologica, 2021 - dergipark.org.tr
Manyetik rezonans görüntüleme (MRI), bilgisayarlı tomografi (BT), pozitron emisyon
tomografisi (PET), mamografi, ultrason ve röntgen gibi tıbbi görüntüleme teknikleri uzun …