IMPROVING PREDICTION OF BLOOD CANCER USING LEUKEMIA MICROARRAY GENE DATA AND CHI2 FEATURES WITH WEIGHTED CONVOLUTIONAL NEURAL NETWORK

Improving prediction of blood cancer using leukemia microarray gene data and Chi2 features with weighted convolutional neural network

Abstract Blood cancer has emerged as a growing concern over the past decade, necessitating early diagnosis for timely and effective treatment.The present diagnostic method, which here involves a battery of tests and medical experts, is costly and time-consuming.For this reason, it is crucial to establish an automated diagnostic system for accurate

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Use of preoperative contrast-enhanced computed tomography in damage control strategy for blunt liver injury: A case report

For patients with unstable abdominal trauma unresponsive to initial transfusion, the damage control strategy includes prompt hemostasis by open surgery and packing.Recently, a hybrid treatment that combines packing and transcatheter arterial embolization as a damage control strategy was reported to be effective; however, the indications and techniq

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