This paper presents map-based data classification for hematopoietic tumor patients. A set of squarely arranged neurons in the map is defined as a block, ...

This paper presents map-based data classification for hematopoietic tumor patients. A set of squarely arranged neurons in the map is defined as a block, and.

This paper presents map-based data classification for hematopoietic tumor patients. A set of squarely arranged neurons in the map is defined as a block, ...

This paper presents map-based data classification for hematopoietic tumor patients. A set of squarely arranged neurons in the map is defined as a block, ...

Accuracy Improvement of SOM-Based Data Classification for Hematopoietic Tumor Patients. N. Kamiura, A. Saitoh, T. Isokawa, and N. Matsui. ISDA, page 373-378 ...

Accuracy Improvement of SOM-Based Data Classification for Hematopoietic Tumor Patients. N. Kamiura, A. Saitoh, T. Isokawa, and N. Matsui. ISDA, page 373-378 ...

In this paper, a scheme of recognizing hematopoietic tumor patients is presented, using self-organizing maps constructed by fast block-matching-based ...

Data detection based on self organizing maps is presented for hematopoietic tumor patients. Learning data for the maps are generated from the screening data ...

Nov 22, 2023 · The classification of acute myeloid leukemia (AML) is primarily based on cytogenetic and molecular findings; however, FCIP is needed for ...

In this paper, a method of determining examinations is presented for outpatients visiting the department of ophthalmology. It assumes that each of the ...