ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation

Deep Neural Networks (DNNs) and Convolutional Neural Networks (CNNs) are useful for many practical tasks in machine learning. Synaptic weights, as well as neuron activation functions within the deep network are typically stored with high-precision formats, e.g. 32 bit floating point. However, since storage capacity is limited and each memory access consumes power, both storage capacity and memory access are two crucial factors in these networks. Here we present a method and present the ADaPTION toolbox to extend the popular deep learning library Caffe to support training of deep CNNs with reduced numerical precision of weights and activations using fixed point notation. ADaPTION includes tools to measure the dynamic range of weights and activations. Using the ADaPTION tools, we quantized several CNNs including VGG16 down to 16-bit weights and activations with only 0.8% drop in Top-1 accuracy. The quantization, especially of the activations, leads to increase of up to 50% of sparsity especially in early and intermediate layers, which we exploit to skip multiplications with zero, thus performing faster and computationally cheaper inference.Comment: 10 pages, 5 figure

Is There a Standard Adjuvant Therapy for Resected Pancreatic Cancer?

Surgical resection remains the only treatment that offers a potential chance of long-term survival. Unfortunately, about 80% of patients treated with curative intent will develop recurrence. Since 2001, adjuvant therapy with gemcitabine or 5-fluorouracyle was recommended. This approach allows a median overall survival (OS) of around 23 months, and 5-year survival of 22%. In recent years, two phase-3 trials investigating new chemotherapy regimens resulted in considerably improved survival times. The doublet gemcitabine–capecitabine has shown improvement in OS from 25.5 to 28 months (p = 0.032) compared to gemcitabine, in the ESPAC-4 trial. Later, preliminary results of PRODIGE 24 trial presented at the 2018 ASCO meeting showed a superiority of a combination chemotherapy regimen with fluorouracil, leucovorin, irinotecan, and oxaliplatin (mFOLFIRINOX) when compared to gemcitabine alone, both in terms of median disease-free survival (21.6 vs. 12.8 months, p < 0.0001) and OS (54.4 vs. 35 months, p = 0.003). Contrary to chemotherapy, the role of adjuvant radiotherapy is still controversial, even in the case of R1 surgery. A randomized trial exploring the role of chemoradiotherapy in this setting is now ongoing in the US (RTOG-0848). Overall, the management of localized pancreatic adenocarcinoma is evolving. In this review, we summarize the current status and the most up-to-date developments in adjuvant treatment

A spike-based neuromorphic stereo architecture for active vision

The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet is still a critical bottleneck for artificial machine vision systems. As temporal information is a crucial feature in this process, the advent of event-based vision sensors and dedicated event-based processors promises to offer an effective approach to solve stereo-matching. Indeed, event-based neuromorphic hardware provides an optimal substrate for biologically-inspired, fast, asynchronous computation, that can make explicit use of precise temporal coincidences. Here we present an event-based stereo-vision system that fully leverages the advantages of brain-inspired neuromorphic computing hardware by interfacing event-based vision sensors to an event-based mixed-signal analog/digital neuromorphic processor. We describe the multi-chip sensory-processing setup developed and demonstrate a proof of concept implementation of cooperative stereo-matching that can be used to build brain-inspired active vision systems

Studio tafonomico dei reperti faunistici provenienti dai livelli musteriani de Riparo Tagliente (VR)

Lo studio dell'insieme faunistico dei livelli musteriani del Riparo Tagliente (VR) mostra un'intensa attività umana finalizzata al completo sfruttamento delle carcasse animali (con evidenze di cutmarks, incavi da impatto, coni di percussione). La frequentazione del sito da parte dei carnivori sembra essere stata occasionale

A Spike-Based Neuromorphic Architecture of Stereo Vision

The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems. As temporal information is a crucial feature in this process, the advent of event-based vision sensors and dedicated event-based processors promises to offer an effective approach to solving the stereo matching problem. Indeed, event-based neuromorphic hardware provides an optimal substrate for fast, asynchronous computation, that can make explicit use of precise temporal coincidences. However, although several biologically-inspired solutions have already been proposed, the performance benefits of combining event-based sensing with asynchronous and parallel computation are yet to be explored. Here we present a hardware spike-based stereo-vision system that leverages the advantages of brain-inspired neuromorphic computing by interfacing two event-based vision sensors to an event-based mixed-signal analog/digital neuromorphic processor. We describe a prototype interface designed to enable the emulation of a stereo-vision system on neuromorphic hardware and we quantify the stereo matching performance with two datasets. Our results provide a path toward the realization of low-latency, end-to-end event-based, neuromorphic architectures for stereo vision

Patients with cancer and hospital admissions: Disease trajectory and strategic choices

Objectives: Hospital admission (HA) in cancer history is a common, repeated and frequently unplanned event. The emergency departments (EDs) and the oncological outpatient service (OOS) are the ordinary way of entry. We studied the reasons of admission, pathways of access and discharge and prognostic factors in a population of admitted patients with cancer. Methods: The health records of the admitted patients in the oncological ward of a referral hospital in a 6-month period were retrieved and analysed. The characteristics of those admitted in the last 3 months of life were compared with the other group. Results: Among the 147 HA, 79.5% were unplanned, 48.9% passing through the ED and 30.6% through the OOS; 56.5% were due to cancer-related symptoms; 50.3% occurred in the last 3 months of life. Median overall survival was 90 days (95% IC 53.1-126.9). Independent prognostic factors for survival were: being admitted for symptoms, referral through the ED and not being discharged at home. Conclusions: Hospital is a turning point in the cancer care pathway. Patients needing HA have a dismal prognosis, half of them being in the last 3 months of life. This group can be identified using universally available variables

Alarming Drop in Early Stage Colorectal Cancer Diagnoses After COVID-19 Outbreak: A Real-World Analysis from the Italian COVID-DELAY Study

Background: Coronavirus disease 2019 (COVID-19) has triggered the disruption of health care on a global scale. With Italy tangled up in the pandemic response, oncology care has been largely diverted and cancer screenings suspended. Our multicenter Italian study aimed to evaluate whether COVID-19 has impacted access to diagnosis, staging, and treatment for patients newly diagnosed with colorectal cancer (CRC), compared with pre-pandemic time. Methods: All consecutive new CRC patients referred to 8 Italian oncology institutions between March and December 2020 were included. Access rate and temporal intervals between date of symptoms onset, radiological and cytohistological diagnosis, treatment start and first radiological evaluation were analyzed and compared with the same months of 2019. Results: A reduction (29%) in newly diagnosed CRC cases was seen when compared with 2019 (360 vs 506). New CRC patients in 2020 were less likely to be diagnosed with early stage (stages I-II-III) CRC (63% vs 78%, P < .01). Gender and sidedness were similar regardless of the year. The percentage of tumors with any mutation among BRAF, NRAS, and KRAS genes were significantly different between the 2 years (61% in 2020 vs 50% in 2019, P = .04). Timing of access to cancer diagnosis, staging, and treatment for patients with CRC has not been negatively affected by the pandemic. Significantly shorter temporal intervals were observed between symptom onset and first oncological appointment (69 vs 79 days, P = .01) and between histological diagnosis and first oncological appointment (34 vs 42 days, P < .01) during 2020 compared with 2019. Fewer CRC cases were discussed in multidisciplinary meetings during 2020 (38% vs 50%, P = .01). Conclusions: Our data highlight a significant drop in CRC diagnosis after COVID-19, especially for early stage disease. The study also reveals a remarkable setback in the multidisciplinary management of patients with CRC. Despite this, Italian oncologists were able to ensure diagnostic-therapeutic pathways proper operation after March 2020