Analyzing the Impact of Data Augmentation on the Explainability of Deep Learning-Based Medical Image Classification by Xinyu (Freddie) Liu, Gizem Karagoz, Nirvana Meratnia

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An Enhanced Approach Using AGS Network for Skin Cancer Classification by Hwanyoung Lee, Seeun Cho, Jiyoon Song, Hoyoung Kim, Youjin Shin

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NoiseAugmentNet-HHO: Enhancing Histopathological Image Classification Through Noise Augmentation by Prem Purusottam Jena, Debahuti Mishra, Kaberi Das, Sashikala Mishra

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Efficient Generative-Adversarial U-Net for Multi-Organ Medical Image Segmentation by Haoran Wang, Gengshen Wu, Yi Liu

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BreastCNet: Breast Cancer Detection, Classification, and Localization Convolutional Neural Network With Advanced Optimization Techniques by Hassan Mahichi, Vahid Ghods, Mohammad Karim Sohrabi, Arash Sabbaghi

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Breast Cancer Detection Using Infrared Thermography: A Survey of Texture Analysis and Machine Learning Approaches by Larry Ryan, Sos Agaian

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Towards Precision Medicine in Sinonasal Tumors: Low-Dimensional Radiomic Signature Extraction from MRI by Riccardo Biondi, Giacomo Gravante, Daniel Remondini, Sara Peluso, Serena Cominetti, Francesco D’Amore, Maurizio Bignami, Alberto Daniele Arosio, Nico Curti

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Uncertainty-Aware Adaptive Multiscale U-Net for Low-Contrast Cardiac Image Segmentation by A. S. M. Sharifuzzaman Sagar, Muhammad Zubair Islam, Jawad Tanveer, Hyung Seok Kim

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning by Jiahao Zhang, Bowen Wang, Hong Liu, Liangzhi Li, Yuta Nakashima, Hajime Nagahara

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Generative Adversarial Networks in Histological Image Segmentation: A Systematic Literature Review by Yanna Leidy Ketley Fernandes Cruz, Antonio Fhillipi Maciel Silva, Ewaldo Eder Carvalho Santana, Daniel G. Costa

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Development of an artificial intelligence powered software for automated analysis of skeletal muscle ultrasonography by Zoe Calulo Rivera, Felipe González-Seguel, Arimitsu Horikawa-Strakovsky, Catherine Granger, Aarti Sarwal, Sanjay Dhar, George Ntoumenopoulos, Jin Chen, V. K. Cody Bumgardner, Selina M. Parry, Kirby P. Mayer, Yuan Wen

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Pioneering precision in lumbar spine MRI segmentation with advanced deep learning and data enhancement by Istiak Ahmed, Md. Tanzim Hossain, Md. Zahirul Islam Nahid, Kazi Shahriar Sanjid, Md. Shakib Shahariar Junayed, M. Monir Uddin, Mohammad Monirujjaman Khan

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landmarker: A Toolkit for Anatomical Landmark Localization in 2D/3D Images by Jef Jonkers, Luc Duchateau, Glenn Van Wallendael, Sofie Van Hoecke

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PyDicer: An open-source python library for conversion and analysis of radiotherapy DICOM data by Phillip Chlap, Daniel Al Mouiee, Robert N Finnegan, Janet Cui, Vicky Chin, Shrikant Deshpande, Lois Holloway

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Deep Learning-Based Medical Object Detection: A Survey by Mohammadreza Saraei, Mehrshad Lalinia, Eung-Joo Lee

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Lesion classification and diabetic retinopathy grading by integrating softmax and pooling operators into vision transformer by Chong Liu, Weiguang Wang, Jian Lian, Wanzhen Jiao

Subjects: “…medical image analysis…”
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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

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An Efficient Privacy-preserving Deep Learning Scheme for Medical Image Analysis by J. Andrew Onesimu, J Karthikeyan

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Do Sharpness-Based Optimizers Improve Generalization in Medical Image Analysis? by Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian

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Enhancing U-Net Segmentation Accuracy Through Comprehensive Data Preprocessing by Talshyn Sarsembayeva, Madina Mansurova, Assel Abdildayeva, Stepan Serebryakov

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