Bo Peng

Jan 20, 2025 | mdpi.com | Xianliang Liu |Bo Peng |TAO WANG |Alex Molassiotis

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Jan 15, 2025 | nature.com | Hua Bai |Guangyu Wang |Cameron J. Nowell |Nicolas H Voelcker |Bo Peng |Lin Li

AbstractMitochondrial morphology and function are intrinsically linked, indicating the opportunity to predict functions by analyzing morphological features in live-cell imaging. Herein, we introduce MoDL, a deep learning algorithm for mitochondrial image segmentation and function prediction. Trained on a dataset of 20,000 manually labeled mitochondria from super-resolution (SR) images, MoDL achieves superior segmentation accuracy, enabling comprehensive morphological analysis.

Nov 25, 2024 | mdpi.com | Bo Peng |Lixia Pan |Wenhui Li

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Nov 24, 2024 | onlinelibrary.wiley.com | Rongrong Bian |Feng Zhao |Bo Peng |Jin Zhang

LASSO least absolute shrinkage and selector operation NSCLC non–small cell lung cancer SVM-RFE support vector machine-recursive feature elimination 1 Introduction With the adoption of low-dose spiral computed tomography screening for the high-risk individuals, the proportion of stage I non-small cell lung cancer (NSCLC) rise sharply. Surgical resection is the curative treatment for stage I NSCLC.

Nov 22, 2024 | mdpi.com | Zhi Zhou |Xueling Wu |Bo Peng

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.