Multi-crop leaf disease detection using deep learning methods

S Kashyap, T Thaware, SR Sahu - 2022 IEEE 19th India …, 2022 - ieeexplore.ieee.org
The image processing technique is a method useful in agricultural processes for enhancing
accuracy and uniformity of processes in farming while decreasing farmers' manual …

Brain Tumor Detection using modified VGG-19 and Inception ResnetV2 models

CR Prasad, S Hussain, B Srinivas… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
A brain tumor is characterized as an aggregation of abnormal cells within the brain. These
tumors can be classified into two categories: malignant and benign. Malignant is cancerous …

Deep Learning Convolutional Neural Networks Classification Based on Brain Cancer MRI

DQ Zeebaree, DA Zebari, IM Zeebaree… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Brain tumor diagnosis and classification is a major challenge for medical field. The majority
of the time, Computer-Aided Diagnostic Systems (CADS) and methods involving Deep …

Deep Learning-Based Methods for Brain Tumor Segmentation: A State-of-the-Art Review

M Aslam, I Shahzad, A Malik, MM Khan - Journal of Computing & …, 2024 - jcbi.org
Hospitals have lately begun using machine learning to expedite the diagnostic and analysis
process. Now that they have assistance with diagnosis, doctors can expedite the start of the …

Brain Tumor Segmentation Using Convolutional Neural Network in MRI Images Based on Deep Learning

M Praveen, AN Lalithraju, P Mugilan… - … on Advances in …, 2023 - ieeexplore.ieee.org
The brain is the master organ of the human body, responsible for every function of the
organism. Brain tumors are one of several common types of disorders that can affect the …