Automatic Segmentation of Bone Canals in Histological Images

Author:

Gondim Pedro Henrique Campos Cunha,Limirio Pedro Henrique Justino Oliveira,Rocha Flaviana Soares,Batista Jonas Dantas,Dechichi Paula,Travençolo Bruno Augusto Nassif,Backes André RicardoORCID

Funder

Conselho Nacional de Desenvolvimento Cientco e Tecnologico

Coordenacao de Aperfeicoamento de Pessoal de Nl Superior

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference26 articles.

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2. Baik J, Ye Q, Zhang L, Poh C, Rosin M, Macaulay C, Guillaud M: Automated classification of oral premalignant lesions using image cytometry and random forests-based algorithms. Cell Oncol 37:193–202, 2014.

3. Rabelo GD, Beletti ME, Dechichi P: Histological analysis of the alterations on cortical bone channels network after radiotherapy: A rabbit study. Micorscop Res Tech, 73:1015–1018,2010

4. Cui Y, Zhang G, Liu Z, Xiong Z, Hu J: A deep learning algorithm for one-step contour aware nuclei segmentation of histopathological images. CoRR, 2018 https://arxiv.org/abs/1803.02786

5. Xing F, Xie Y, Su H, Liu F, Yang L: Deep learning in microscopy image analysis: A survey. IEEE Trans Neural Netw Learn Sys 29(10):1–19,2017

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