Performance of the proposed method for binary classification of lung cancer. حسب Md. Sabbir Hossain (9958939)

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Graphical comparison of binary class lung cancer classification with different approaches. حسب Md. Sabbir Hossain (9958939)

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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

Effectiveness of image augmentation operations. حسب Hailang Li (12557543)

(a) Accuracy and (b) loss curves of training and validation during binary class classification for 512 features extracted by the CNN. حسب Md. Sabbir Hossain (9958939)

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ROC curves of the proposed method for binary class classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, and (F) Ensemble learning. حسب Md. Sabbir Hossain (9958939)

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Image from video analysis. حسب Yunlin Li (6049214)

Lung cancer CT images before and after pre-processing. حسب Md. Sabbir Hossain (9958939)

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Overview of the proposed simple CNN for extracting features from CT scan images. حسب Md. Sabbir Hossain (9958939)

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Cell classification. حسب Adam L. Tyson (10892822)

Melanoma Detection by Means of Multiple Instance Learning حسب Annabella Astorino (11644324)

"…We present an application to melanoma detection of a multiple instance learning (MIL) approach, whose objective, in the binary case, is to discriminate between positive and negative sets of items. …"

Association between crowding and oral habits. حسب Kengo Oka (1420585)

"…Questionnaire data and tooth alignment images of the children were collected. The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"

Association between deep bite and oral habits. حسب Kengo Oka (1420585)

"…Questionnaire data and tooth alignment images of the children were collected. The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"

Breakdown of participants by residential area. حسب Kengo Oka (1420585)

"…Questionnaire data and tooth alignment images of the children were collected. The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"

Each variable for the dataset. حسب Kengo Oka (1420585)

"…Questionnaire data and tooth alignment images of the children were collected. The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"

Performance comparison between the proposed method and various TL models with SVM. حسب Md. Sabbir Hossain (9958939)

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Performance of the individual and proposed methods for multiclass classification of lung cancer. حسب Md. Sabbir Hossain (9958939)

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Result comparison with other existing models. حسب Md. Sabbir Hossain (9958939)

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Normalized confusion matrix of the proposed method for multiclass classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, and (F) Ensemble learning. حسب Md. Sabbir Hossain (9958939)

الموضوعات:

ROC curves of the proposed method for multiclass classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, and (F) Ensemble learning. حسب Md. Sabbir Hossain (9958939)

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