Titlebook: Biomedical Image Analysis; Special Applications Pritpal Singh Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive li

SPARK

書目名稱Biomedical Image Analysis影響因子(影響力)




書目名稱Biomedical Image Analysis影響因子(影響力)學(xué)科排名




書目名稱Biomedical Image Analysis網(wǎng)絡(luò)公開度




書目名稱Biomedical Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Biomedical Image Analysis被引頻次




書目名稱Biomedical Image Analysis被引頻次學(xué)科排名




書目名稱Biomedical Image Analysis年度引用




書目名稱Biomedical Image Analysis年度引用學(xué)科排名




書目名稱Biomedical Image Analysis讀者反饋




書目名稱Biomedical Image Analysis讀者反饋學(xué)科排名

旁觀者

疲憊的老馬

CLAM

COVID-19 CT Scan Image Segmentation Using Quantum-Clustering Approach,n be accurately detected. The proposed method is verified and validated with different chest CT scan images of COVID-19 patients. The segmented images obtained using FFQOAK method are compared with various benchmark image segmentation methods. The proposed method achieves mean squared error, peak si

Sinus-Node

軍械庫

GUILT

freight

https://doi.org/10.1007/978-981-10-0173-4py values of gray levels. Finally, an image fusion operation is performed on the segmented images with different thresholds to include all features and identify the location of brain tumor. The fusion images are compared with the segmented images obtained by five different methods, including fuzzy c

共同給與

碎石頭

Book 2024also provides a brief introduction to other computation techniques, such as fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm, focusing on how these techniques can be integrated into different phases of the biomedical image analysis. In particular, t