ROC curves for the overall cases. by Puneet Thapar (21464240)

“…While the steep death tolls continue rising at an alarming rate, lack of symptoms recognition and its preventive measures further worsen the case. In this article, we employ the ISBI-2017 dataset to present an improved FrCN-based hybrid image segmentation method with U-Net to improve detection performance. …”

ROC curves for the Melanoma case. by Puneet Thapar (21464240)

“…While the steep death tolls continue rising at an alarming rate, lack of symptoms recognition and its preventive measures further worsen the case. In this article, we employ the ISBI-2017 dataset to present an improved FrCN-based hybrid image segmentation method with U-Net to improve detection performance. …”

ROC curves for the Benign cases. by Puneet Thapar (21464240)

“…While the steep death tolls continue rising at an alarming rate, lack of symptoms recognition and its preventive measures further worsen the case. In this article, we employ the ISBI-2017 dataset to present an improved FrCN-based hybrid image segmentation method with U-Net to improve detection performance. …”

Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

Subjects:

The gene network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

Subjects:

The SNP network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

Subjects:

Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

Subjects:

Gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

Subjects:

Part of genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

Subjects:

Part of gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

Subjects:

Schematic illustration of spike detection and sequence detection. by Tjitse van der Molen (20391106)

Schematic of the skin cancer detection technique. by Puneet Thapar (21464240)

“…While the steep death tolls continue rising at an alarming rate, lack of symptoms recognition and its preventive measures further worsen the case. In this article, we employ the ISBI-2017 dataset to present an improved FrCN-based hybrid image segmentation method with U-Net to improve detection performance. …”

Cases with clonal MMR deficiencies. by Yuqian Liu (1413763)

Variation explained by the principal components obtained via sparse PCA of the 79 risk factors used to model population-normalized case-counts in the counties of New Mexico. by Cosmin Safta (11105442)

Execution time comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. by Liyan Sun (760586)

Subjects:

F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. by Liyan Sun (760586)

Subjects:

Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset. by Liyan Sun (760586)

Subjects:

Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset. by Liyan Sun (760586)

Subjects:

The brief description on the WTCCC dataset. by Liyan Sun (760586)

Subjects: