The project was created as a portfolio project to create a deep-learning model to analyze breast mammography images and predict malignancy. I am creating a model of my own while using pre-trained classification models and finetuning it. The models used till now are ResNet18, ResNet50 and EfficientNet. It is still a work in progress
#The datasets used are- Rebecca Sawyer Lee, Francisco Gimenez, Assaf Hoogi , Daniel Rubin (2016). Curated Breast Imaging Subset of DDSM [Dataset]. The Cancer Imaging Archive. DOI: https://doi.org/10.7937/K9/TCIA.2016.7O02S9CY #Rebecca Sawyer Lee, Francisco Gimenez, Assaf Hoogi, Kanae Kawai Miyake, Mia Gorovoy & Daniel L. Rubin. (2017) A curated mammography data set for use in computer-aided detection and diagnosis research. Scientific Data volume 4, Article number: 170177 DOI: https://doi.org/10.1038/sdata.2017.177 #Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: https://doi.org/10.1007/s10278-013-9622-7*