Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data
Science Bowl 2017 Challenge

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge

26 May 2017

V. Chandrasekhar

Papers citing "Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge"

10 / 10 papers shown

Title
TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection Zhenge Jia Dawei Li Cong Liu Li-Shih Liao Xiaowei Xu Lichuan Ping Yiyu Shi 18 8 0 09 May 2023
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer Ruinan Sun Yu Pang ViT MedIm 19 18 0 04 Jul 2022
Generative Adversarial Networks for Image Super-Resolution: A Survey Chunwei Tian Xuanyu Zhang Chun-Wei Lin W. Zuo Yanning Zhang Chia-Wen Lin GAN 39 45 0 28 Apr 2022
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning S. Aslani P. Alluri E. Gudmundsson E. Chandy J. McCabe ... Rahul Chakkara A. Nair Daniel C. Alexander Summit consortium Joseph Jacob 19 4 0 30 Mar 2022
Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans Xavier Rafael-Palou A. Aubanell M. Ceresa Vicent J. Ribas Gemma Piella M. A. G. Ballester MedIm 13 3 0 26 Mar 2021
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification Hanliang Jiang Fuhao Shen Fei Gao Weidong Han 34 83 0 19 Jan 2021
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset Menglin Jia Mengyun Shi Mikhail Sirotenko Huayu Chen Claire Cardie B. Hariharan Hartwig Adam Serge J. Belongie 27 93 0 26 Apr 2020
Automated Mouse Organ Segmentation: A Deep Learning Based Solution N. Ashish M. Brusniak 18 2 0 24 Apr 2018
A Deep Convolutional Neural Network for Lung Cancer Diagnostic Mehdi Fatan Serj Bahram Lavi Gabriela Hoff Domenec Puig-Valls MedIm 13 40 0 22 Apr 2018
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 180 1,941 0 24 Oct 2016