Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures by Emily Kaczmarek, Jina Nanayakkara, Alireza Sedghi, Mehran Pesteie, Thomas Tuschl, Neil Renwick, Parvin Mousavi

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Statistical Redundancy Testing for Improved Gene Selection in Cancer Classification Using Microarray Data by J. Sunil Rao, Simin Hu

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The consensus immunoscore: toward a new classification of colorectal cancer by Anastasia Lanzi, Franck Pagès, Christine Lagorce-Pagès, Jérôme Galon

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Breast Cancer Detection on Dual-View Sonography via Data-Centric Deep Learning by Ting-Ruen Wei, Michele Hell, Aren Vierra, Ran Pang, Young Kang, Mahesh Patel, Yuling Yan

Subjects: “…Breast cancer classification…”
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Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review by Fadi Alharbi, Aleksandar Vakanski

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Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony by Lingyun Gao, Mingquan Ye, Changrong Wu

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Multi-Scale Digital Pathology Patch-Level Prostate Cancer Grading Using Deep Learning: Use Case Evaluation of DiagSet Dataset by Tanaya Kondejkar, Salah Mohammed Awad Al-Heejawi, Anne Breggia, Bilal Ahmad, Robert Christman, Stephen T. Ryan, Saeed Amal

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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

Subjects: “…skin cancer classification…”
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Deep Learning Technology Applied to Medical Image Tissue Classification by Min-Jen Tsai, Yu-Han Tao

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Backward Elimination for Feature Selection on Breast Cancer Classification Using Logistic Regression and Support Vector Machine Algorithms by Salsha Farahdiba, Dwi Kartini, Radityo Adi Nugroho, Rudy Herteno, Triando Hamonangan Saragih

Subjects: “…breast cancer classification…”
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An automated treatment plan alert system to safeguard cancer treatments in radiation therapy by Paul M. Kump, Junyi Xia, Sridhar Yaddanapudi, Erwei Bai

Subjects: “…Cancer classification…”
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Breast Cancer Classification With Enhanced Interpretability: DALAResNet50 and DT Grad-CAM by Suxing Liu, Galib Muhammad Shahriar Himel, Jiahao Wang

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Mining Breast Cancer Classification Rules from Mammograms by Yeh Jinn-Yi, Chan Si-Wa, Wu Tai-Hsi

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Is using a consolidation tumor ratio 0.5 as criterion feasible in daily practice? Evaluation of interobserver measurement variability of consolidation tumor ratio of lung cancer le... by Sachie Koike, Kimihiro Shimizu, Shogo Ide, Shuji Mishima, Shunichiro Matsuoka, Tetsu Takeda, Kentaro Miura, Takashi Eguchi, Kazutoshi Hamanaka, Taisuke Araki, Kei Sonehara, Keisuke Todoroki, Fumihito Ichinohe, Satoshi Kawakami, Masayoshi Koinuma

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Exploring the Best Parameters of Deep Learning for Breast Cancer Classification System by Andry Chowanda

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Using new artificial bee colony as probabilistic neural network for breast cancer data classification by Habib Shah

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LUNG CANCER RELAPSE PREDICTION USING PARALLEL XGBOOST by Rana D. Abdu-Aljabar, Osama A. Awad

Subjects: “…Machine learning, XGBoost, Lung cancer, Classification, Bioinformatics, Gene expression…”
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EARLY PREDICTION OF CERVICAL CANCER USING MACHINE LEARNING TECHNIQUES by Mohammad Subhi Al-Batah, Mazen Alzyoud, Raed Alazaidah, Malek Toubat, Haneen AlZoubi, Areej Olaiyat

Subjects: “…cervical cancer; classification; feature selection; machine learning; medical diagnosis…”
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The role of genetic testing in the prognosis and management of solid tumors. A literature review by Radoi Viorica-Elena, Pop Lucian-Gheorghe, Maioru Ovidiu-Virgil I., Sabau Delia, Dan Andra, Riza Maria, Bohiltea Laurentiu-Camil

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Comparison of Transfer Learning Model Performance for Breast Cancer Type Classification in Mammogram Images by Cahya Bagus Sanjaya, Muhammad Imron Rosadi, Moch. Lutfi, Lukman Hakim

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