Abstract: Medical image data is analysed to produce a biomarker. The data is filtered with a plurality of band-pass filters each having a different bandwidth. A texture parameter is then determined from the filtered data from each filter and the biomarker is determined as at a ratio of the texture parameters. When the biomarker is obtained from a CT image of a liver, it can be predictive of poor survival, disease extent and liver physiology of a patient following resection of colorectal cancer. When obtained from a mammographic image, the biomarker can be indicative of cancer invasion and receptor status within mammographic abnormalities. When obtained from a CT image of a lung nodule, the biomarker can be predictive of tumour stage (or grading) and tumour metabolism of a patient with non-small cell lung carcinoma (lung cancer).

Abstract: Medical image data is analysed to produce a biomarker. The data is filtered with a plurality of band-pass filters each having a different bandwidth. A texture parameter is then determined from the filtered data from each filter and the biomarker is determined as at a ratio of the texture parameters. When the biomarker is obtained from a CT image of a liver, it can be predictive of poor survival, disease extent and liver physiology of a patient following resection of colorectal cancer. When obtained from a mammographic image, the biomarker can be indicative of cancer invasion and receptor status within mammographic abnormalities. When obtained from a CT image of a lung nodule, the biomarker can be predictive of tumour stage (or grading) and tumour metabolism of a patient with non-small cell lung carcinoma (lung cancer).

Abstract: Medical image data is analysed to produce a biomarker. The data is filtered with a plurality of band-pass filters each having a different bandwidth. A texture parameter is then determined from the filtered data from each filter and the biomarker is determined as at a ratio of the texture parameters. When the biomarker is obtained from a CT image of a liver, it can be predictive of poor survival, disease extent and liver physiology of a patient following resection of colorectal cancer. When obtained from a mammographic image, the biomarker can be indicative of cancer invasion and receptor status within mammographic abnormalities. When obtained from a CT image of a lung nodule, the biomarker can be predictive of tumour stage (or grading) and tumour metabolism of a patient with non-small cell lung carcinoma (lung cancer). When obtained from an MRI image of the brain, the biomarker can be indicative of schizophrenia and/or other brain disorders.

Abstract: A method of retransmitting a data cell is disclosed. The method comprises providing a transmit queue having a head and a tail and providing a retransmit queue having a head and a tail. The method also comprises transmitting a first data cell from the head of the transmit queue. The method further comprises inserting the first data cell at the tail of the retransmit queue and retransmitting a second data cell at the head of the retransmit queue.

Abstract: A method for automatically managing the communication channel resources between two nodes having neighboring nodes in a network of transceiver nodes, wherein each node communicates during specific time slots and uses multiple frequencies on a time division multiple access basis includes the steps of storing a table of possible communication frequencies and time slots between nodes; and announcing and transmitting during a specific time slot, a selected transmit frequency and slot from a first node to a second node and all neighboring nodes of the first node. The announced frequency and slot have certain constraints on reuse within two hops of the transmitting node to thereby establish contention free communication on that frequency and slot between the first and second nodes.