The dataset in this study included the data of 2644 patients from two centers. One of these centers was the Breast Diseases Research Center of Shiraz University of Medical Sciences, which supplied data of 1465 patients from 2003 to 2013. Another center was the Cancer Research Center of Shahid ...
The dataset in this study included the data of 2644 patients from two centers. One of these centers was the Breast Diseases Research Center of Shiraz University of Medical Sciences, which supplied data of 1465 patients from 2003 to 2013. Another center was the Cancer Research Center of Shahid ...
Validation was performed on different dataset of 184 patients from The Cancer Imaging Archive (TCIA) yielded an AUC of 0.855 which has shown comparable performance to that of radiologists. Kwon et al. (2023)25 discussed the use of the enzyme MRE-seq in liquid biopsies to identify lung and ...
and test datasets and transfer the learned parameters with the locally collected dataset [14]. In addition to the Kaggle dataset. There are different data augmentation techniques such as cropping, adding noise, translation, rotation, and filliping. But to increase the size of the data set, fil...
The proposed model performance is evaluated using accuracy, sensitivity, specificity on the Kaggle benchmark dataset that is found comparable in state of the art using simple machine learning strategies. Research highlights Fast learning network and K‐nearest neighbor hybrid classifier proposed first ...
It is partitioned into 2 classes: “Melanoma” and “NotMelanoma.” It can be downloaded and used from https://www.kaggle.com/adacslicml/melanoma-classification-ham10k. The third one is named “Skin diseases image dataset”. It is composed of 27, 153 images in which images have different...
state-of-the-art deep learning methods by up to 36.1%, showing its ability to address domain shifts observed in samples from diverse populations and processed by different slide preparation methods. CHIEF provides a generalizable foundation for efficient digital pathology evaluation for patients with ...
udacitykerascnnkagglelung-cancer-detectioncapsule-network UpdatedApr 17, 2021 Jupyter Notebook Priyansh42/Lung-Cancer-Detection Star37 This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model. ...
The breast cancer dataset from Kaggle is utilized. The test and training data were divided by 7:3. Important features are determined by the correlation matrix. Metrics found the most effective classification models after creating the models. The results of future optimization techniques will be ...
The following figure depicts the number of patients who have cancer and those who do not. As we can see, the three cases have similar sample numbers. We must divide our dataset into four subsets to compare the accuracy and AUC (Area Under Curve) calculated in this study with those in ...