Segmentation of osteosarcoma in MRI images by K‐means clustering, Chan‐Vese segmentation, and iterative Gaussian filtering
M Nasor, W Obaid - IET Image Processing, 2021 - Wiley Online Library
Unlike other types of tumours, automated osteosarcoma segmentation in magnetic
resonance images (MRI) is a challenging task due to its different and unique intensity and …
resonance images (MRI) is a challenging task due to its different and unique intensity and …
Segmentation of tumor using PCA based modified fuzzy C means algorithms on MR brain images
K Yepuganti, S Saladi… - International Journal of …, 2020 - Wiley Online Library
In the field of medical sciences, automatic detection of tumor using magnetic resonance
(MR) brain images is a major research area. The goal of the proposed work is to identify the …
(MR) brain images is a major research area. The goal of the proposed work is to identify the …
[PDF][PDF] MRI brain tumor segmentation with slic and convolutional neural networks
Brain tumor segmentation of MRI imagery is very essential in detecting and analyzing brain
tumors. But it's a herculean task due to the presence of noise and intensity inhomogeneity in …
tumors. But it's a herculean task due to the presence of noise and intensity inhomogeneity in …
Performance Analysis of Detection of Disease on Leaf Images with Inception V3 and Mobilenet Deep Learning Techniques
S Saritha, VS Srinivas, D Anuhya… - Journal of …, 2022 - pnrjournal.com
Indian economy depends a lot on agriculture. Around 38% of the land in India is suitable for
agriculture. The crop in the agricultural land is threatened by the diseases. These diseases …
agriculture. The crop in the agricultural land is threatened by the diseases. These diseases …