Add to ORKGFast and accurate morphological classification of cells in bone marrow samples is a key step in the diagnostic workup of many disorders of the hematopoietic system such as leukemias. In spite of its long-established key position, morphological examination of bone marrow samples has been difficult to automatise, and is still mainly performed manually by trained cytologists on light microscopes. In our contribution [1], we present a neural network for classification of light microscopy images of bone marrow samples
The automatic classification of bone marrow blood cells is of great significance to diagnosis of acu...
Morphological identification of acute leukemia is a powerful tool used by hematologists to determine...
Leukocytes, produced in the bone marrow, make up around one percent of all blood cells. Uncontrolled...
Fast and accurate morphological classification of cells in bone marrow samples is a key step in the ...
Biomedical applications of deep learning algorithms rely on large, expert annotated data sets. The ...
The morphological analysis of bone marrow smears is fundamental for the diagnosis of leukemia. Curre...
The morphological differentiation of bone marrow is fundamental for the diagnosis of leukemia. Curre...
The critical structure and nature of different bone marrow cells which form a base in the diagnosis ...
Abstract Accurate identification and classification of bone marrow (BM) nucleated cell morphology ar...
Identifying and counting cells in bone marrow samples, known as cytology, is critical for the diagno...
When physicians diagnose malignant tumors, such as acute leukemia, the rapid and precise classificat...
Background and Objective: The classification of bone marrow (BM) cells by light mi- croscopy is an i...
Around 1percent of total of all blood is made up of leukocytes, which are produced in the bone marro...
Cellularity estimation forms an important aspect of the visual examination of bone marrow biopsies. ...
Reliable recognition and microscopic differentiation of malignant and non-malignant leukocytes from ...
The automatic classification of bone marrow blood cells is of great significance to diagnosis of acu...
Morphological identification of acute leukemia is a powerful tool used by hematologists to determine...
Leukocytes, produced in the bone marrow, make up around one percent of all blood cells. Uncontrolled...
Fast and accurate morphological classification of cells in bone marrow samples is a key step in the ...
Biomedical applications of deep learning algorithms rely on large, expert annotated data sets. The ...
The morphological analysis of bone marrow smears is fundamental for the diagnosis of leukemia. Curre...
The morphological differentiation of bone marrow is fundamental for the diagnosis of leukemia. Curre...
The critical structure and nature of different bone marrow cells which form a base in the diagnosis ...
Abstract Accurate identification and classification of bone marrow (BM) nucleated cell morphology ar...
Identifying and counting cells in bone marrow samples, known as cytology, is critical for the diagno...
When physicians diagnose malignant tumors, such as acute leukemia, the rapid and precise classificat...
Background and Objective: The classification of bone marrow (BM) cells by light mi- croscopy is an i...
Around 1percent of total of all blood is made up of leukocytes, which are produced in the bone marro...
Cellularity estimation forms an important aspect of the visual examination of bone marrow biopsies. ...
Reliable recognition and microscopic differentiation of malignant and non-malignant leukocytes from ...
The automatic classification of bone marrow blood cells is of great significance to diagnosis of acu...
Morphological identification of acute leukemia is a powerful tool used by hematologists to determine...
Leukocytes, produced in the bone marrow, make up around one percent of all blood cells. Uncontrolled...