This data set uses the following 16 variables: sample_id: Unique string identifying each subject. patient_cohort: Cohort 1 (previously used samples); Cohort 2 (newly added samples). sample_origin: BPTB: Barts Pancreas Tissue Bank, London, UK; ESP: Spanish National Cancer Research Centre, Madr...
Data set, kaggle.com (www.kaggle.com/mrsantos/hcc-dataset) there are 165 rows in the dataset consisting of 50 columns. There are 49 independent arguments in the dataset. Arguments were used as inputs of the ANN. The weights between the parameters used and the artificial nerve cells were ...
We leverage the UBC Ovarian Cancer data-set obtained from Kaggle, encompassing whole slide images and tissue microarrays with various dimensions. Among the sub-types covered in this dataset are clear cell (CC), endometrioid (EC), high-grade serous (HGSC), low-grade serous (LGSC) and mucinous...
Conversely, VGG19 and DenseNet121 exhibit higher RMSE values, suggesting a comparatively less accurate fit to the data. Inception V3 and NASNetLarge show a noticeable increase in RMSE on the validation set, indicating a potential for overfitting. On the contrary, InceptionResNetV2, NASNetMobile ...
This project is a part of research on Breast Cancer Diagnosis with Machine Learning algorithm using data-driven approaches. The final outcomes of the research were later published at an IEEE Conference and added to IEEE Xplore Digital Library. ...
N. Multi-layer perceptron approach for diabetes risk prediction using BRFSS data. In 2024 IEEE 10th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA). (2024). Aria, M., et al., Acute lymphoblastic leukemia (ALL) image dataset. Kaggle, (2021). Aria, M.,...
It can be downloaded and used from https://www.kaggle.com/surajghuwalewala/ham1000-segmentation-and-classification. The fifth one is named “PH2”. It is composed of 200 dermoscopic images of melanocytic lesions. It can be downloaded and used from https://www.fc.up.pt/addi/ph2%20data...
At this stage, the trained models underwent evaluation on the test set to derive the ultimate estimate of their performance on previously unseen data. The evaluation process encompassed two distinct approaches, as illustrated in Fig. 1. Firstly, each model was assessed on a subset of the same ...
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 ...
Data availability This work utilized 16 pathology datasets from large research consortia, including TCGA (https://portal.gdc.cancer.gov), GTEx (https://www.gtexportal.org/home/), PAIP (http://www.wisepaip.org/paip), PANDA (https://www.kaggle.com/c/prostate-cancer-grade-assessment), BCC...