These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
175 related articles for article (PubMed ID: 37463919)
1. Identification of breast lesion through integrated study of gorilla troops optimization and rotation-based learning from MRI images. Si T; Patra DK; Mallik S; Bandyopadhyay A; Sarkar A; Qin H Sci Rep; 2023 Jul; 13(1):11577. PubMed ID: 37463919 [TBL] [Abstract][Full Text] [Related]
2. Lesion detection in women breast's dynamic contrast-enhanced magnetic resonance imaging using deep learning. Saikia S; Si T; Deb D; Bora K; Mallik S; Maulik U; Zhao Z Sci Rep; 2023 Dec; 13(1):22555. PubMed ID: 38110462 [TBL] [Abstract][Full Text] [Related]
3. A two-stage rule-constrained seedless region growing approach for mandibular body segmentation in MRI. Ji DX; Foong KW; Ong SH Int J Comput Assist Radiol Surg; 2013 Sep; 8(5):723-32. PubMed ID: 23397281 [TBL] [Abstract][Full Text] [Related]
4. Multi-threshold Image Segmentation based on an improved Salp Swarm Algorithm: Case study of breast cancer pathology images. Guo H; Li M; Liu H; Chen X; Cheng Z; Li X; Yu H; He Q Comput Biol Med; 2024 Jan; 168():107769. PubMed ID: 38039898 [TBL] [Abstract][Full Text] [Related]
5. Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation. Liu L; Zhao D; Yu F; Heidari AA; Ru J; Chen H; Mafarja M; Turabieh H; Pan Z Comput Biol Med; 2021 Nov; 138():104910. PubMed ID: 34638022 [TBL] [Abstract][Full Text] [Related]
6. HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images. Abdel-Basset M; Chang V; Mohamed R Appl Soft Comput; 2020 Oct; 95():106642. PubMed ID: 32843887 [TBL] [Abstract][Full Text] [Related]
7. Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification. Næss-Schmidt E; Tietze A; Blicher JU; Petersen M; Mikkelsen IK; Coupé P; Manjón JV; Eskildsen SF Int J Comput Assist Radiol Surg; 2016 Nov; 11(11):1979-1991. PubMed ID: 27325140 [TBL] [Abstract][Full Text] [Related]
8. Lesion Segmentation in Automated 3D Breast Ultrasound: Volumetric Analysis. Agarwal R; Diaz O; Lladó X; Gubern-Mérida A; Vilanova JC; Martí R Ultrason Imaging; 2018 Mar; 40(2):97-112. PubMed ID: 29182056 [TBL] [Abstract][Full Text] [Related]
9. Medical image segmentation approach based on hybrid adaptive differential evolution and crayfish optimizer. Mostafa RR; Khedr AM; Aghbari ZA; Afyouni I; Kamel I; Ahmed N Comput Biol Med; 2024 Sep; 180():109011. PubMed ID: 39146840 [TBL] [Abstract][Full Text] [Related]
10. An efficient multi-level thresholding method for breast thermograms analysis based on an improved BWO algorithm. Singh S; Singh H; Mittal N; Singh S; Askar SS; Alshamrani AM; Abouhawwash M BMC Med Imaging; 2024 Jul; 24(1):191. PubMed ID: 39080591 [TBL] [Abstract][Full Text] [Related]
11. Modified salp swarm algorithm based multilevel thresholding for color image segmentation. Wang SK; Jia HM; Peng XX Math Biosci Eng; 2019 Oct; 17(1):700-724. PubMed ID: 31731372 [TBL] [Abstract][Full Text] [Related]
12. Transfer learning for automatic joint segmentation of thyroid and breast lesions from ultrasound images. Ma J; Bao L; Lou Q; Kong D Int J Comput Assist Radiol Surg; 2022 Feb; 17(2):363-372. PubMed ID: 34881409 [TBL] [Abstract][Full Text] [Related]
13. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients. Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693 [TBL] [Abstract][Full Text] [Related]
14. Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial. Sorace AG; Partridge SC; Li X; Virostko J; Barnes SL; Hippe DS; Huang W; Yankeelov TE J Med Imaging (Bellingham); 2018 Jan; 5(1):011019. PubMed ID: 29392160 [TBL] [Abstract][Full Text] [Related]
15. Multi-Level Thresholding Image Segmentation Based on Improved Slime Mould Algorithm and Symmetric Cross-Entropy. Jiang Y; Zhang D; Zhu W; Wang L Entropy (Basel); 2023 Jan; 25(1):. PubMed ID: 36673319 [TBL] [Abstract][Full Text] [Related]
16. Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer. Kawula M; Purice D; Li M; Vivar G; Ahmadi SA; Parodi K; Belka C; Landry G; Kurz C Radiat Oncol; 2022 Jan; 17(1):21. PubMed ID: 35101068 [TBL] [Abstract][Full Text] [Related]
17. Enhanced Slime Mould Algorithm for Multilevel Thresholding Image Segmentation Using Entropy Measures. Lin S; Jia H; Abualigah L; Altalhi M Entropy (Basel); 2021 Dec; 23(12):. PubMed ID: 34946006 [TBL] [Abstract][Full Text] [Related]
18. An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets. Fashandi H; Kuling G; Lu Y; Wu H; Martel AL Med Phys; 2019 Mar; 46(3):1230-1244. PubMed ID: 30609062 [TBL] [Abstract][Full Text] [Related]
19. Performance and Robustness of Regional Image Segmentation Driven by Selected Evolutionary and Genetic Algorithms: Study on MR Articular Cartilage Images. Kubicek J; Varysova A; Cerny M; Hancarova K; Oczka D; Augustynek M; Penhaker M; Prokop O; Scurek R Sensors (Basel); 2022 Aug; 22(17):. PubMed ID: 36080793 [TBL] [Abstract][Full Text] [Related]
20. Multilevel Threshold Segmentation of Skin Lesions in Color Images Using Coronavirus Optimization Algorithm. Alsahafi YS; Elshora DS; Mohamed ER; Hosny KM Diagnostics (Basel); 2023 Sep; 13(18):. PubMed ID: 37761325 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]